Reads for week 1-7 Jan 2024

1. Everything you need to know about Hallucinations and LLMS: The What, Why and How ? (by Daruru Srivastava)

2. AI in Drug Discovery 2023: key trend and Events (by Amandeep Singh) -- a linkeding post

3. Data Science projects list compilation -- a LinkedIn post by Abhishek Mungoli

4. Books, Blogs, Posts compilation for MLOPs -- by Neil Leiser

5. Seroter's daily reading list

6. Software Engineeing at Google -- A book

7. Level Up Your AI Strategy: From Models to Applications and Beyond

8. HumanELY: Human Evaluation of Large Language model Yield -- Paper

9. DocLLM: A LYOUT-AWARE GENERATIVE LANGUAGE MODEL FOR MULTILMODAL DOCUMENT UNDERSTANDING

Reads for week 8-14 Jan 2024

1. AI Drift In Retrieval Augmented Generations ( A medium Blog Post)

2. A linkedin Post by David Sauerwein

3. Why 2024 will be the year of robotics

4. visual Guides to understand the basic of Large Language Models

5. Hacker News -- malware found on python package

6. Event Driven Serverless architecture on Google -- post by Mazlum Tosum

7. Democratizing on-device generative AI with sub-10 billion parameter models

8. Bringing Gemini to organizations everywhere -- Google Blog

9. Bigquery Integration with Document AI

10. Speech Analytics with BigQuery powered by VertexAI

11. Compiled links on ML Search by Lakshya Khandelwal

12. VertexAI -- Side by Side Evaluation

13. Cloud Switching from Google Cloud got Easier

14. Build a SemanticSearch Engine for Emojis -- A medium post by Jacob Marks

15. Multi-tenancy is what's hard about scaling web services