Life with AI

96 Episodes

1. #95- Why Chain of Thought works?

   Published: 9/26/2024
2. #94- OpenAI o1

   Published: 9/19/2024
3. #93- Different types of AI.

   Published: 9/12/2024
4. #92- Llama3 benchmarks, vision and speech.

   Published: 8/22/2024
5. #91- Llama 3 training.

   Published: 8/15/2024
6. #90- Llama 3 paper overview.

   Published: 7/25/2024
7. #89- How to choose the best AI model for your application?

   Published: 7/18/2024
8. #88- Stable Diffusion.

   Published: 7/11/2024
9. #87- Diffusion models, the algorithm behind Midjourney, Dall-e and Stable Diffusion.

   Published: 7/4/2024
10. #86- CLIP, SigLIP and JinaCLIP.

    Published: 6/27/2024
11. #85- Constrastive learning and cosine similarity.

    Published: 6/20/2024
12. #84- FineWeb, the best dataset to pre-train LLMs.

    Published: 6/13/2024
13. #83- LLM copilot for enterprise.

    Published: 6/6/2024
14. #82- BitNet, 1 bit Transformers.

    Published: 5/30/2024
15. #81- Llama 3.

    Published: 4/19/2024
16. #80- Layer pruning and Mixture of Depths.

    Published: 4/18/2024
17. #79- LoRA and QLoRA.

    Published: 4/11/2024
18. #78- RAFT: Why just to use RAG if you can also fine tune?

    Published: 3/21/2024
19. #77- Ring Attention and 1M context window, is RAG dead?

    Published: 3/7/2024
20. #76- Solving problems using AI.

    Published: 2/22/2024