Ten from the weekend 04/09: A few interesting reads that I came across:
Focus areas: Blockchain| ML-AI| Data science/Analytics applications |eSports| CRISPR| Design thinking
Last few weeks have been insane (to mildly put), on AI front, and its been tough to just keep up with all the stuff that’s getting released
1. BloombergGPT: A Large Language Model for Finance. There are going to be a lot of LLM/Co-pilot for X. This is going to be big: https://arxiv.org/abs/2303.17564
2. The AI index report: https://aiindex.stanford.edu/report/
3. Generative AI could raise global GDP by 7%: https://www.goldmansachs.com/insights/pages/generative-ai-could-raise-global-gdp-by-7-percent.html
4. Task-driven Autonomous Agent Utilizing GPT-4, Pinecone, and LangChain for Diverse Applications: https://yoheinakajima.com/task-driven-autonomous-agent-utilizing-gpt-4-pinecone-and-langchain-for-diverse-applications/
5. Wish this was there when we were doing video analytics: https://segment-anything.com/ || https://arxiv.org/abs/2304.02643
6. StackLLaMA: A hands-on guide to train LLaMA with RLHF: https://huggingface.co/blog/stackllama
7. Improving language models by retrieving from trillions of tokens: https://arxiv.org/abs/2112.04426
8. Mid journey has been fun, a very good cheat sheet: https://www.theaivalley.com/p/midjourney-prompt-book
9. A Survey of Large Language Models: https://arxiv.org/abs/2303.18223
10. A gambler beat Roulette: https://www.bloomberg.com/features/2023-how-to-beat-roulette-gambler-figures-it-out/
