Ten from the weekend 10/15: A few interesting reads that I came across

Focus areas: Blockchain| ML-AI| Data science/Analytics applications |eSports| CRISPR| Design thinking

1. https://a16z.com/the-techno-optimist-manifesto/ The Techno-Optimist Manifesto -Marc Andreessen

2. https://www.kaggle.com/AI-Report-2023 || kaggle AI report

3. https://blog.sciencenatures.com/2023/08/james-webb-found-first-dark-matter-star.html?m=1

4. https://docs.llamaindex.ai/en/stable/end_to_end_tutorials/dev_practices/production_rag.html || Building Performant RAG Applications for Production

5. https://blog.langchain.dev/fine-tuning-chatgpt-surpassing-gpt-4-summarization/ || Fine-tuned ChatGPT beats GPT-4 for news article summarization using only synthetic data.

6. https://arxiv.org/abs/2310.04406 || Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

7. https://arxiv.org/abs/2310.06825 || Mistral 7b paper

8. https://docs.llamaindex.ai/en/latest/examples/query_engine/pgvector_sql_query_engine.html || text to sql with PGvevtor

9. https://arxiv.org/abs/2310.06692 || Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models

10. https://arxiv.org/abs/2310.07820 || Large Language Models Are Zero-Shot Time Series Forecasters