Leveraging the Power of LLMs-GDG-DevFest23-HarshGoyal

🌟 Introduction: Unveil the definition and profound significance of Large Language Models (LLMs) in today's AI-driven era.

🧠 Understanding LLMs: Delve deep into LLM intricacies, encompassing their training, evaluation, and fine-tuning. Illuminate advanced techniques like prompt engineering and P-tuning. Illustrate with concrete models such as GPT-4 and llama for absolute clarity.

🚀 Applications of LLMs: Diverse applications: text summarization, translation, question answering, code generation. Real-world use cases across industries and scenarios.

🧩 Challenges and Ethical Considerations: Addressing challenges: model complexity, controllability, scalability.

Transcript

1. Meet Harsh: Innovator, Data Scientist, AI Enthusiast, Speaker Ahmedabad
2. Let’s Dive in Ahmedabad
3. Ahmedabad Why do we come here?
4. Ahmedabad
5. “SWAGS” 🤫😏
6. Leveraging the Power of Large Language Models (LLMs) Ahmedabad
7. Meet Harsh: Innovator, Data Scientist, AI Enthusiast Ahmedabad
8. How many of you have used an AI tool this week?
9. Ahmedabad Our Journey Today 1. Understanding the LLMs 2. Impact of LLMs on our world 3. Harnessing the Power of LLMs 4. Challenges and Ethical Considerations 5. Wrap-up and Q&A
10. Let’s Dive in Ahmedabad
11. Ahmedabad
12. Understanding the Large Language Model Ahmedabad
13. What is the Large Language Model?
15. Ahmedabad Parameters: the Heartbeat Of LLMs
16. Why “Large”? Ahmedabad
17. Ahmedabad Source: https://www.sciencedirect.com/science/article/pii/S2666651021000231#fig3
18. Ahmedabad
19. 1966 1997 2010 2011 2017 Evolution Phases Eliza - The First Step Stanford’s CoreNLP - Advanced NLP Tools" LSTM Networks - Deeper Learning Transformers - A New Era Google Brain - Contextual Understanding Google PaLM, BLOOM, ChatGPT DALL-E, LaMDA, Copilot, T5, Codex OpenAI GPT 1, 2 Google BERT Facebook RoBERTa Latest Innovations The Evolution of Large Language Models 2023 2022 2021 2020 2018-19 OpenAI GPT 3 - 175B parameters BARD, GPT-4, Falcon, Llama 2, Gemini
23. Beyond Text: Multimodal LLM
24. Ahmedabad AI's Recipe for Success When you ask AI to spice up your meal, be prepared for a garden variety of results!
25. Ahmedabad
26. Traditional Methods vs. Large Language Models
27. Ahmedabad Source: Benedict Evans – Dec 23
28. Exploring the Impact of LLMs on Our World
29. Ahmedabad What makes ChatGPT more popular?
30. Ahmedabad LLMs: Reshaping Our World
31. Ahmedabad Multiple Use cases Source: appypie.com
32. Ahmedabad
33. Ahmedabad The Future is Now: Our Accelerated Software Development
34. Harnessing the Power of LLMs
35. Architecture of an LLM application Ahmedabad
36. Ahmedabad Source: https://www.linkedin.com/pulse/emerging-architecture-stack-llm-apps-rabee-zyoud/
37. Ahmedabad Major Five Steps 1. Identify your problem 2. Choose the correct LLM 3. Customize it. (PE, RAG, PEFT) 4. set up the application (Deployment) 5. evaluations & feedback (GR, validators, matrix)
38. LLM Unexpected or Creative Responses: Any Experiences?
39. Challenges and ethical considerations
40. Ahmedabad
41. Ahmedabad LLMs: Not Always Right
42. Ahmedabad Misuse of LLMs Source: https://www.unite.ai/prompt-hacking-and-misuse-of-llm/
43. Ahmedabad
44. Future Potentials?
45. @handle