
Abhinav Kimothi
@abhinav_kimothi
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🐸 Co-founder @yarnitapp | Data Science | AI | Product | Theatre | BITS - Pilani | ISB | Dehradun | Bangalore
Bengaluru, India
Joined September 2022
🌟My book on RAG with @ManningBooks is available for Early Access!! (First 3 chapters). 🧵For tech professionals looking to get introduced to using RAG for building LLM based Apps. For coders and non-coders. 💥use code for 50% off - mlkimothi
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RT @ManningBooks: @PSJamesP @JeffHicks @tagir_valeev A Simple Guide to Retrieval Augmented Generation by @abhinav_kimothi. Get it on liveAu….
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Just finished MongoDB in Action by @_Aras_B from @ManningBooks. This book is a game-changer for anyone building with MongoDB & Atlas. Dive into sharding, Vector Search for AI, Stream Processing, and robust security. Highly recommend!.
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RT @ManningBooks: 📣Deal of the Day📣 June 29. Now in print! HALF OFF TODAY!. A Simple Guide to Retrieval Augmented Generation & selected ti….
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Just dived into Build a Text-to-Image Generator by @mark_h_liu , and WOW! This book from @ManningBooks is a game-changer for anyone wanting to truly understand & build generative AI, from transformers to diffusion models!.
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A Simple Guide to RAG is in the @ManningBooks Bestsellers list this week. You can get 50% off if you use the code "PBKimothi" now through 4th of July. Click here to get your copy -
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Deal of the Day June 29: Now in print! Save 50% on my book A Simple Guide to Retrieval Augmented Generation, and other selected titles @ManningBooks .
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RT @ManningBooks: Ever had an LLM hallucinate? Like claiming Oregon borders Canada? (It doesn’t 😂). RAG can help keep your AI grounded — @a….
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Read "Domain-Specific Small Language Models" by @GuglielmoIozzia and @ManningBooks) For building and deploying efficient, specialized AI applications, this is the handbook you need. Covers everything from efficient FT to QT in code and chemistry -
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RT @fhwflutter: Is your LLM making things up? Learn how RAG (Retrieval-Augmented Generation) creates reliable, fact-based AI. Hear author….
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Impressed with "Enterprise RAG" by @TylerSuard & Darshil Modi (@ManningBooks )! For robust, production-ready RAG, this is the handbook you need. Covers everything from smarter ingestion to AutoGen agents & real-time streaming. A must-read! -
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RT @MashaalTheatre: The premiere shows of दरिन्दा/Beast at @JagritiTheatre were a success. Thank you all for attending and showering us wit….
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RT @MashaalTheatre: 🎭 मशाल प्रस्तुत करता है. दरिंदा – एक तीव्र झकझोर देने वाला नाटक।.एक हिंसक किशोर और उसके शिक्षक के बीच की जंग – क्या बद….
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Three must read books on RAG by @ManningBooks . 1. A Simple Guide to Retrieval Augmented Generation.2. Essential GraphRAG.3. Enterprise RAG. Get 45% off all day today - Scan code or
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Traditional search won't cut it for modern AI apps. AI-Powered Search by @treygrainger et al. is the ultimate guide to building scalable, hybrid, and intelligent search systems. Get your copy here at @ManningBooks 👉
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RT @TDataScience: "All these layers, stacked together and supported by a technology infrastructure, create a robust RAG system design. This….
towardsdatascience.com
The Architecture, Operational Layers, and Best Practices for Effective RAG Implementation
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RT @TDataScience: What does it take to implement a RAG system effectively? @abhinav_kimothi's deep dive outlines the nitty-gritty details o….
towardsdatascience.com
The Architecture, Operational Layers, and Best Practices for Effective RAG Implementation
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RT @TDataScience: Learn all about the architecture, operational layers, and best practices for effective RAG implementation by following al….
towardsdatascience.com
The Architecture, Operational Layers, and Best Practices for Effective RAG Implementation
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RT @acmeducation: December 12, join @RushShahani, Founder @PersanaAi (@ycombinator), for the #ACMTechTalk, "From Research to Reality: Build….
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RT @TDataScience: Ever wondered why some AI responses fall flat? Learn about RAG, a game-changing approach that combines LLMs with external….
towardsdatascience.com
A deep dive into advanced indexing, pre-retrieval, retrieval, and post-retrieval techniques to enhance RAG performance
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