Information Retrieval and Latest AI Trends

Transcript

1. Information Retrieval Latest AI Trends AbdulMajedRaja RS
2. Information Retrieval 01 The Rise of LLMs 02 Semantic Search made easy 03 Local AI Models 04 AGI & The End 05
3. Information Retrieval is the science of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds.
4. Information Retrieval Where is it Today 01 x y
5. Then Now
6. Then Now
7. The Rise of LLMs LLM - Large Language Model 02 x y
8. 2. More Compute 4 .Open Source 3. More Data 1. Better Models
9. 2. Instruct Fine-tuned models 1. LLMs 3. RLHF
10. GPT-4 IR Demo
11. Semantic Search 03 x y
12. Language models give computers the ability to search by meaning and go beyond searching by matching keywords. This capability is called semantic search.
13. Local AI Models Running LLMs- Locally on your PC 04 x y
14. • LLama from Meta • Dolly from DataBricks • GPT4All from Nomic AI GPT-3.5 Level Models
15. • Stable Diffusion AI Image Generation Models
16. AI Image Generation Models from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler model_id = "stabilityai/stable-diffusion-2-1" # Use the DPMSolverMultistepScheduler (DPM-Solver++) scheduler here instead pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config) pipe = pipe.to("cuda") prompt = "a photo of an astronaut riding a horse on mars" image = pipe(prompt).images[0] image.save("astronaut_rides_horse.png")
17. Hugging Face Models
18. Hugging Face Spaces
19. AGI and The End AGI- Artificial General Intelligence 04 x y
20. Resources • Slide Template - Slidesgo.com • Semantic Search Cohere - https://docs.cohere.ai/docs/semantic-search • Huggingface.co