Ten from the weekend 11/26: A few interesting reads that I came across:
Focus areas: Blockchain| ML-AI| Data science/Analytics applications |eSports| CRISPR| Design thinking
- Intro to LLM — watch it: https://www.youtube.com/watch?v=zjkBMFhNj_g || https://creatoreconomy.so/p/curious-beginners-guide-to-large-language-models
2. Maxjourney: Pushing Discord’s Limits with a Million+ Online Users in a Single Server: https://discord.com/blog/maxjourney-pushing-discords-limits-with-a-million-plus-online-users-in-a-single-server
3. Intel Neural-Chat 7b: Fine-Tuning on Gaudi2 for Top LLM Performance: Smol models finetuned are giving better performance for specific use cases: https://huggingface.co/blog/Andyrasika/neural-chat-intel
4. RAG Evaluation Series: Validating the RAG Performance of OpenAI vs LlamaIndex: https://www.tonic.ai/blog/rag-evaluation-series-validating-rag-performance-openai-vs-llamaindex
5. Break the Sequential Dependency of LLM Inference Using Lookahead Decoding: https://lmsys.org/blog/2023-11-21-lookahead-decoding/
6. Generative AI for Beginners — A Course: https://microsoft.github.io/generative-ai-for-beginners/#/
7. Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets: https://static1.squarespace.com/static/6213c340453c3f502425776e/t/655ce779b9d47d342a93c890/1700587395994/stable_video_diffusion.pdf || also try this in conjunction with Magnifica for upscaling and creating variations of pictures. The results are quite interesting.
8. A Path Towards Autonomous Machine Intelligence: https://openreview.net/forum?id=BZ5a1r-kVsf
9. https://stratechery.com/2023/openais-misalignment-and-microsofts-gain/ || interesting read, things fell in place finally with open ai but the speed of MSFT maneuvering over a weekend was something to keep in view.
10. An Overview on RAG Evaluation: https://weaviate.io/blog/rag-evaluation
Contrastive Chain-of-Thought Prompting: https://arxiv.org/abs/2311.09277
