Building AI Applicat... • 1y
LLM Capabilities, t2i generation via inference and resonance inside vector DB of the model is what makes images as this possible. Via : Midjourney
Building an AI eco-s... • 4m
I'm working towards building India's first Vector DB and Memory Management System. I'm not yet funded by any VC - bootstrapping everything with a very small team. I need the support of the community to take India's deep-tech products to the Global s
See MoreBuilding AI Applicat... • 1y
The Real Potential of AI is when it seems beyond what rest of the Human Evolution has ever seen! It will always be an additional brain for Human Imagination! Image Generated via Midjourney, a complex hybridization of ideas inside prompt rendering so
See Morejoining different pi... • 5m
Learn how to build a RAG application (!) using @eyelevelai with its super solid ETL pipeline for performing RAG on complex docs (!!) using @GroqInc for fast AI inference (!!!) and expose your local @FastAPI server over the internet via @ngrokHQ h
See MorePython Developer 💻 ... • 5m
3B LLM outperforms 405B LLM 🤯 Similarly, a 7B LLM outperforms OpenAI o1 & DeepSeek-R1 🤯 🤯 LLM: llama 3 Datasets: MATH-500 & AIME-2024 This has done on research with compute optimal Test-Time Scaling (TTS). Recently, OpenAI o1 shows that Test-
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Boeing • 1y
I was just going through some AI news and damn ..... Snowflake Arctic, an enterprise-grade LLM that delivers top-tier performance in SQL generation, coding, and instruction-following benchmarks at a fraction of traditional costs!!! I also read that
See MoreProblem Zeroth, Tech... • 15d
Most people think of RAG (Retrieval-Augmented Generation) as a text-only thing. But when we apply it to images, it unlocks serious potential — especially in safety, retail, and surveillance. I recently explored Vision-RAG using Weaviate + LangChain
See MoreBuidling AlLiN|AI Re... • 1m
🚨 Everyone says "RAG is dead" — but I say: It’s just been badly implemented. I’ve worked on AI systems where Retrieval-Augmented Generation (RAG) either changed the game… or completely flopped. Here’s the hard truth 👇 --- 🤯 Most teams mess up
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