Turing Fest 2023: The Rise of AI

Transcript

1. Bastian Grimm | Peak Ace AG | @basgr
   The Rise of AI
   Strategies & Tips to Drive Growth
   June 29th 2023
   

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2. A bit of a warmup…
   

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3. Stock Photo or AI?
   Which image was created by a machine/AI?
   

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4. VS
   #A #B
   

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5. VS
   #A #B
   

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6. VS
   #A #B
   

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7. pa.ag
   @peakaceag
   7
   Midjourney V5 has gotten REALLY good… just wow!
   Our all-time favourite AI text-to-image generation tool that's available right now:
   Source: https://www.midjourney.com/ & https://pa.ag/3C11Zwo
   

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8. pa.ag
   @peakaceag
   8
   Various alternatives, e.g., Dream Studio by stability.ai
   Source: https://pa.ag/3fybYlm
   

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9. Prompting is how humans can talk to AI.
   It's a way to express what we want and how we
   want it, usually done with words.
   Prompt(ing)?
   

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10. pa.ag
    @peakaceag
    10
    Need help and/or inspiration? Try DS Prompt Builder:
    Source: https://pa.ag/3JbNxFM
    Super-simple drag & drop prompt
    building based on visual elements to
    choose style, lightning, etc.
    

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11. pa.ag
    @peakaceag
    11
    Creating AI prompts is a key skill for any generative AI
    Whoever formulates the best, most creative and most unique AI prompts will create the
    best content (and save AI/API credits)
    Source: https://promptbase.com
    There is a marketplace (promptbase.com), which is
    dedicated to trading prompts – use it for inspiration!
    

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12. Ok… great.
    What about real-world
    use cases though?
    

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13. pa.ag
    @peakaceag
    13
    If you need product ads/images fast, try flair.ai
    AI-generated product photography using a drag-and-drop approach that allows you to
    place product imagery in literally any environment you can think of:
    Source: https://pa.ag/3ZNrFqi
    

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14. pa.ag
    @peakaceag
    14
    cleanup.pictures
    Remove any unwanted object, defect or even people from your picture in seconds
    Source: https://cleanup.pictures
    

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15. Source: https://pa.ag/3Xjna6Z
    Another very practical
    use-case:
    Scan me, I am a very beautiful QR Code!
    

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16. pa.ag
    @peakaceag
    16
    Recommended use-cases for generative image AI
    Even though we‘re still at an early stage, the uses mentioned below are very much
    possible today and allows for time and cost savings, as well as efficiency gains:
    Header images
    e.g., for blog posts or
    newsletters
    Social images
    e.g., for your various feeds
    such as LinkedIn, Insta, etc.
    Images for slides
    e.g., for pitch presentations,
    slide decks or story boards
    Image modification
    e.g., clean-ups, object
    removal, up-scaling, etc.
    

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17. pa.ag
    @peakaceag
    17
    Interesting but equally scary use-case from Osaka Univ.
    “We propose a new method based on a diffusion model (DM) to reconstruct images from
    human brain activity obtained via fMRI (functional magnetic resonance imaging)”
    Source: https://pa.ag/3ZBaHvG
    Reconstructing visual experiences
    from human brain activity offers
    a unique way to understand how
    the brain represents the world,
    and to interpret the connection
    between computer vision models
    and our visual system.
    

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18. Speaking of scary stuff…
    

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19. 50% of AI researchers believe there’s a
    10% or greater chance that
    humans will go extinct from our
    inability to control AI.
    Source: https://pa.ag/41VW8DV
    

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20. A bit like… catching a flight when 50% of
    engineers think there's a 10% chance that
    everyone on it will die. Would you get
    on the plane?
    Source: https://pa.ag/42hDGWm
    

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21. Exaggeration? Maybe…
    

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22. pa.ag
    @peakaceag
    22
    Voice- & face cloning is already very much possible
    Granted, it’s not perfect just yet, but it’ll do the trick. Solutions such as ElevenLabs.io or
    frameworks such as DeepFaceLab are available for free/at-minimum cost, to everybody:
    Source: https://pa.ag/3mIlAgF
    Good afternoon, everybody, this is President
    Obama speaking! My dear friend Bastian
    asked me to say hello.
    De-age the face
    Replace the head
    

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23. pa.ag
    @peakaceag
    23
    AI-powered scam caused $622k fraud
    In China, AI-powered face-swapping was used to impersonate a friend during a live
    video call; the scammers received a transfer of 4.3 million Yuan:
    Source: https://pa.ag/3WH8wpz
    

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24. pa.ag
    @peakaceag
    24
    AI-generated image caused a brief stock market dip
    A fake image showing an explosion near the Pentagon was shared by multiple verified
    Twitter accounts last Monday, causing confusion and a brief dip in the stock market:
    Source: https://pa.ag/434n6db
    

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25. So, just imagine what’s out there
    that we don‘t have access to…
    

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26. Some LLM theory & background
    knowledge to start with
    

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27. pa.ag
    @peakaceag
    27
    What is a large language model (good at)?
    Source: https://pa.ag/3ZDGZpE
    A LLM is a (deep) learning algorithm
    that can recognize, summarize,
    translate, predict and generate text
    and other content based on knowledge
    gained from massive datasets.
    

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28. pa.ag
    @peakaceag
    28
    This is very important to understand:
    These LLMs don’t “write” anything.
    They generate text based on the
    number of parameters used in their
    training, using content they've
    encountered before.
    

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29. pa.ag
    @peakaceag
    29
    A timeline of AI and
    recently released (L)LMs
    Source: https://pa.ag/3Ld7yxv
    

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30. pa.ag
    @peakaceag
    30
    Larger data sets = (usually) better results
    Googles’ MUM uses a text-to-text Transfer Transformer (T5) trained on the Colossal
    Clean Crawled Corpus (C4), which is significantly larger than BERT's training data
    Source: https://pa.ag/3EFfRfT
    (MUM)
    Basis: Web crawl (220 TB)
    with approx. 3 billion
    web pages
    (BERT)
    Basis: Wikipedia
    with approx. 56 million
    articles
    VS
    From a (Google) marketing standpoint it's easy to say that MUM
    is 10 times smarter than BERT…
    

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31. pa.ag
    @peakaceag
    31
    At least equally important: Training data quality
    “A Comprehensive Analysis of Datasets Used to Train GPT-1, GPT-2, GPT-3, GPT-NeoX-
    20B, Megatron-11B, MT-NLG, […]“
    Source: https://pa.ag/3UId4KA
    There are many more...
    ▪ Megatron-Turing NLG (Microsoft & Nvidia): 530 billion
    ▪ Pathways Language Model 2 (Google): 540 billion
    ▪ WuDao 2.0 (Beijing Academy of AI): 1.5 trillion
    

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32. pa.ag
    @peakaceag
    32
    Problems & challenges with using large language models
    Aside from misinformation, offensive content and hallucination, there’s lots more
    to know:
    Source: https://pa.ag/3tuOwJ9
    Computing power
    The quality of the results
    improves as the size of the
    LLMs increases. Gains are
    incremental, while costs
    increase exponentially.
    Biased training data
    If biased data is used, the
    system will likely show the
    same bias when making
    decisions in practice.
    Environmental impact
    Training a large transformer
    model produces 5,680%
    more carbon emissions
    than one human per year.
    Static perspectives
    Large language models
    are usually trained once
    and used over long
    periods of time.
    

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33. pa.ag
    @peakaceag
    33
    A real-world “bias example” from Amazon
    The company developed an AI to help scale recruiting – which didn’t work so well…
    Source: https://pa.ag/4228GtP
    Amazon’s computer models were trained
    to vet applicants by observing patterns in
    resumes submitted to the company over a
    10-year period. Most came from men, a
    reflection of male dominance across the
    tech industry.
    […]
    In effect, Amazon’s system taught itself
    that male candidates were preferable.
    It penalised resumes that included the
    word “women’s” and downgraded
    graduates of two all-women’s colleges.
    

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34. Have I scared you enough to not
    blindly trust anything AI by now?
    

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35. Now the fun starts… let’s talk tools
    to drive efficiency & growth!
    

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36. pa.ag
    @peakaceag
    36
    Source: https://pa.ag/3yrqQYn
    theresanaiforthat.com
    – yup… there is!
    If you prefer searching, this
    might be of help:
    

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37. Be very, very mindful of the data
    you put into any of those tools.
    #confidentiality #dataprotection
    

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38. AI for:
    Text copy
    

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39. pa.ag
    @peakaceag
    39
    Overview of AI-based content generation tools
    Depending on your needs and desired outcome, I am sure you’ll find one you like:
    

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40. e.g., use Jasper helping you to write sales copy (for
    outreach) or content drafts for a blog post, etc.
    What to use it for?
    

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41. Never publish without
    checking your output first!
    Expect to check and edit content before it goes live!
    

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42. AI for:
    Audio
    

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43. pa.ag
    @peakaceag
    43
    beatoven.ai: Create customisable royalty free music
    Beatoven.ai uses AI music generation to compose unique mood-based music to suit
    every part of your creative piece, e.g., video (can be drag and dropped while creating):
    Source: https://pa.ag/3T9xQD4
    

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44. pa.ag
    @peakaceag
    44
    More AI audio & music tools
    Krisp AI: Removes background voices,
    noises and echo from all your calls
    Cleanvoice AI: Removes filler sounds,
    stuttering and mouth sounds from
    podcasts or audio recordings
    Podcastle AI: Studio-quality recording,
    editing, and seamless exporting –
    in a single web platform
    soundraw.io: Royalty-free music,
    AI generated based on mood,
    genre and length.
    Descript.com: To write, record,
    transcribe and edit video and
    podcasts
    Soundbite AI: Turn new and existing
    audio and video content into ready-to-
    edit social media posts, and summaries.
    

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45. AI for:
    Video
    

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46. pa.ag
    @peakaceag
    46
    Want to boost personalised interactions with customers?
    Maverick records once but automatically personalises for all, enabling videos at scale.
    Source: https://pa.ag/3ZSIZdu
    

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47. pa.ag
    @peakaceag
    47
    The Peak Ace team used MURF.ai for a cost-effective
    localisation of video ads assets:
    Step 1:
    Transcribe original script and
    localise into desired language
    Step 3:
    Input your localised copy
    and export script
    Step 2:
    Decide on the voice and style
    you'd like to use
    Step 4:
    Add the new script to your video and
    adjust until it sounds perfect
    New FR version
    Our task/challenge: A client wanted to use a video in different
    regions but didn’t have local employees to voice the scripts.
    Original DE
    

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48. pa.ag
    @peakaceag
    48
    Other video AI solutions worth checking out:
    

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49. pa.ag
    @peakaceag
    49
    Gen-2 by Runway in particular looks crazy cool:
    Just look at how it transfers the style of any image or prompt to every frame of a video:
    Source: https://pa.ag/41WwvTp
    Source Video Generated Video
    Driving Image
    

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50. AI for:
    (More) Productivity
    

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51. pa.ag
    @peakaceag
    51
    Compose AI: A Chrome extension to make you fast(er)
    A free Chrome extension to automate your writing
    Source: https://pa.ag/41TToay
    

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52. pa.ag
    @peakaceag
    52
    MailMaestro: Bringing OpenAI LLMs directly to Outlook
    Generate custom emails and responses based on short prompts; create one click email
    thread summaries including action points for the receiver:
    Source: https://www.maestrolabs.com
    

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53. pa.ag
    @peakaceag
    53
    Create more, better LinkedIn content with AI using Taplio
    Establishing a personal brand on LinkedIn is a key pillar of growth. Stop wasting endless
    hours writing your next post and get fresh ideas using Taplio’s content inspiration layer:
    Source: https://taplio.com
    

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54. pa.ag
    @peakaceag
    54
    ExcelFormulaBot: turn your problem into a formula
    Transform your text instructions into Excel formulas in seconds
    (yep, I know: ChatGPT can do that as well…)
    Source: https://pa.ag/3ythYlb
    

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55. pa.ag
    @peakaceag
    55
    Otter.ai for automated meeting notes & summaries
    Your meeting assistant that records audio, writes notes, automatically captures slides,
    and generates summaries:
    Source: https://pa.ag/3LhCcWC
    Word of advice (and caution, again):
    It's super practical but getting consent to
    record is important – especially since some
    services can automatically send meeting
    summaries by email afterwards! Also, I am
    not a lawyer.
    

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56. AI for:
    No Code
    

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57. pa.ag
    @peakaceag
    57
    Akkio.com: Grow faster with No-Code ML
    Create custom ML models in minutes – no technical background needed. Just connect
    with a data source of your choice (e.g., CSV, SQL, BigQ) and you’re go to go:
    Source: https://pa.ag/3JwknSC
    

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58. pa.ag
    @peakaceag
    58
    Things Peak Ace has done with Akkio and their models:
    1.
    Sales forecasting –
    e.g., understanding when
    customers are likely to buy.
    2.
    Churn prediction –
    e.g., finding out which
    customers are likely to
    cancel next.
    3.
    Lead scoring –
    e.g., understanding which
    sources generate the highest
    purchase intent.
    

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59. AI and:
    ChatGPT
    

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60. pa.ag
    @peakaceag
    60
    ChatGPT is currently using OpenAI’s GPT-4 model
    Including capabilities for browsing (Bing) as well as plug-in usage
    Source: https://chat.openai.com/
    

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61. pa.ag
    @peakaceag
    61
    What makes a good prompt and how do you structure it?
    Some tips to create better and more efficient prompts for ChatGPT (h/t Mike King):
    Source: https://pa.ag/42KbNpH
    Role
    Who is ChatGPT
    creating as?
    Context
    What is the situation it is
    creating for?
    Instructions
    What specifically do you
    want it to do?
    Format
    How do you want it to
    return its response?
    Examples
    Samples of the output that
    you expect.
    Constraints
    What should ChatGPT
    not do?
    

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62. pa.ag
    @peakaceag
    62
    ChatGPT combined with AIPRM (prompt mgmt. plug-in)
    Access a curated selection of ChatGPT prompts specifically designed for SEOs,
    marketers, sales, support, copywriting and more :
    Source: https://aiprm.com/
    

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63. pa.ag
    @peakaceag
    63
    ChatGPT browsing mode using Bing search:
    Essentially, OpenAI uses Bing search to enrich output based on automatically generated
    queries taken from the original ChatGPT prompt:
    

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64. pa.ag
    @peakaceag
    64
    ChatGPT plug-ins for more productivity/efficiency
    e.g., LinkReader allows direct interaction with PDFs, Word documents, etc.
    

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65. Direct integrations into LLMs through
    plug-ins are going to significantly
    change the web’s ecosystem
    

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66. AI vs.
    Search
    

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67. pa.ag
    @peakaceag
    67
    The "new Bing" – Microsoft going all-in on AI in search
    Bings’ integration of OpenAI’s LLM into its search engine kicked-off a whole series of
    changes for search in general (some changes are still to come):
    

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68. pa.ag
    @peakaceag
    68
    It’s still early days, but initial ad integrations are available
    How will targeting work? What’s the model? How about bidding? So many questions …
    Source: https://pa.ag/3Ngtk4C
    

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69. pa.ag
    @peakaceag
    69
    Naturally, Google has something brewing as well…
    Meet Google Bard (which is not officially available in Europe just yet…)
    Source: https://bard.google.com/
    Just use a VPN service of your
    liking and set your IP origin to
    the US, or Switzerland even.
    

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70. pa.ag
    @peakaceag
    70
    Google‘s Search Generative Experience (SGE)
    Join the waitlist (if you’re not already on it): g.co/Labs (US IP/VPN needed)
    Source: https://pa.ag/433w36x
    

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71. pa.ag
    @peakaceag
    71
    

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72. pa.ag
    @peakaceag
    72
    

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73. pa.ag
    @peakaceag
    73
    

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74. Your marketing team needs to be thinking about
    adapting their SEO strategy, as obtaining organic traffic
    is likely to get much more difficult in the future.
    Why should you care?
    

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75. Organic search results will change, but so will ad creation
    and the integration of ads into the search results.
    Google to introduce
    generative AI for ads as well
    

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76. pa.ag
    @peakaceag
    76
    Meanwhile… automated RSAs based on OpenAI’s API
    Leverage OpenAI’s API to use the maximum number of Google responsive search ads
    assets and, in turn, boost your paid search campaigns:
    Source: https://pa.ag/40GipUM & https://pa.ag/3phXv1B
    Another interesting idea:
    

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77. Built from the ground up with true multimodality, high efficiency
    in using external tools/APIs, memory capabilities, etc.
    Google also is working on a
    brand-new model: Gemini
    

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78. A multimodal AI can ingest knowledge/input from
    multiple sources (e.g., text, audio, video, gesture, …) and
    utilise it to solve tasks involving any modality
    Multimodality?
    

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79. So, where are AI & LLMs
    headed in the future?
    

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80. pa.ag
    @peakaceag
    80
    Amazon entering the game with impressive initial results
    And their very own (pretty horrible) on-site search will most likely undergo a full
    makeover as well:
    Source: https://pa.ag/3Fl5ZKe & https://pa.ag/3WUrTfb
    Amazon has released a new LM that outperforms
    GPT-3.5 on ScienceQA by 16 percentage points,
    or with 75.1% to 91.6% accuracy
    

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81. pa.ag
    @peakaceag
    81
    Microsoft to broadly roll-out their MS365 Copilot
    This isn't strictly a topic for growth, but "interacting with AI“ will soon be part of your
    daily (work) activities – and you might not even know it:
    Sources: https://pa.ag/3ASowLb & https://pa.ag/43z5tC0
    Invoking Windows Copilot is easy – the button is front and center on your taskbar –
    simple to find and use. Once open, the Windows Copilot side bar stays consistent across
    your apps, programs and windows, always available to act as your personal assistant.
    

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82. With one significant goal in mind:
    improving themselves
    Models will generate their
    own training data
    

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83. Because today’s LLMs make stuff up
    Models will fact-check
    themselves
    

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84. Shifting towards models which only use the most relevant
    subset of their parameters vs. running through every
    single one > Massive sparse expert models
    New LLM architecture?
    

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85. pa.ag
    @peakaceag
    85
    Planning for Artificial General Intelligence and beyond
    “As our systems get closer to AGI, we are becoming increasingly cautious with the
    creation and deployment of our models.”
    Source: https://pa.ag/3mxjSOU
    The first AGI will be just a point along the
    continuum of intelligence. We think it’s likely
    that progress will continue from there […] If this
    is true, the world could become extremely
    different from how it is today, and the risks
    could be extraordinary.
    A misaligned super intelligent AGI could cause
    grievous harm to the world; an autocratic
    regime with a decisive superintelligence lead
    could do that too.
    

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86. pa.ag
    @peakaceag
    86
    The best part of this OpenAI post though?
    Source: https://pa.ag/3mxjSOU
    Successfully transitioning to a world with
    superintelligence is perhaps the most important—
    and hopeful, and scary—project in human history.
    Success is far from guaranteed, and the stakes
    (boundless downside and boundless upside) will
    hopefully unite all of us.
    

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87. ...hopefully.
    

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88. pa.ag
    @peakaceag
    88
    Meanwhile: World’s first AI-flown fighter jet can dogfight
    In a joint project between DARPA and the US Air Force, a special aircraft called the X-62
    Vista became the first tactical aircraft to be piloted by AI:
    Source: https://pa.ag/3JtRtlS
    The jet was under the
    control of one of four
    different AI algorithms
    at any given time during
    the tests. […] This included
    dogfighting in simulated
    combat missions, as well as
    takeoffs and landings
    

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89. The Online Marketer’s
    AI Playbook:
    Thank you!
    pa.ag/aiplaybook
    

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