Read writing from Anindyadeep on Medium. Engineering @PremAI | Ex ML @CorridorPlatforms, @Voxela Inc. I like to talk about my journey and learnings. Every day, Anindyadeep and thousands of other voices read, write, and share important stories on Medium.

Anindyadeep – Medium

Hello everyone, Hope you are having an awesome weekend. In my previous blog, we learned about knowledge bases, embeddings, and how LLMs use knowledge bases for giving factually better and enhanced…

Building a Knowledge base for custom LLMs using Langchain, Chroma, and GPT4All

Building Large Language Models and creating LLM-powered applications have become popular ever since the rise of chatGPT. Communities right now are mainly focused on two fundamental things. If we pay…

How to integrate custom LLM using langchain. A GPT4ALL example.

So far we have learned how to connect custom Large Language Models using Langchain and there I showed an example of connecting a LLM provided by GPT4All with a custom download function. However, the…

Knowledge Bases and retrieval augmented LLMs, A primer.

Our last post was focused more on building an analytical pipeline and setting up our experimentation environment and best practices around it. The use case we worked on was a text classification…

Practical insights while fine-tuning LLMs for domain-specific use cases and best practices

Large Language Models (LLMs) have emerged as a significant force in the family of Generative AI, capturing the imagination of vast possibilities. With the launch of ChatGPT, organizations, and…

Practitioners guide to fine-tune LLMs for domain-specific use case

You can say that this is part 1.5 😅 of my mini-series Building end-to-end LLM-powered applications without Open AI’s API. Before going forward if you wonder what part 1 covers, check this out. We…

Structuring projects and configuration management for LLM-powered Apps.

Anindya_s_Resume_Sep.pdf

Messing around with LLMs, RAG and RecSys and struggling to understand about Protein / RNA folding. - Anindyadeep

Anindyadeep - Overview

The Evaluation Framework for LLMs. Contribute to Anindyadeep/deepeval development by creating an account on GitHub.

GitHub - Anindyadeep/deepeval: The Evaluation Framework for LLMs

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed. - Anindyadeep/lit-gpt

GitHub - Anindyadeep/lit-gpt: Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

prompt2model - Generate Deployable Models from Natural Language Instructions - Anindyadeep/prompt2model

GitHub - Anindyadeep/prompt2model: prompt2model - Generate Deployable Models from Natural Language Instructions

:closed_book: Clarity in the current fast-paced mess of Open Source innovation - premAI-io/state-of-open-source-ai

GitHub - premAI-io/state-of-open-source-ai: :closed_book: Clarity in the current fast-paced mess of Open Source innovation

Listen to HOLY TRINITY (feat. Rich The Kid) on Spotify. Song · Arizona Zervas, Rich The Kid · 2022

HOLY TRINITY (feat. Rich The Kid)

Listen to Ride or Die on Spotify. Song · Chuki Beats, Dina Ayada · 2020

Ride or Die

Listen to Home (Metro Boomin & Don Toliver, Lil Uzi Vert) on Spotify. Song · Metro Boomin, Don Toliver, Lil Uzi Vert · 2023

Home (Metro Boomin & Don Toliver, Lil Uzi Vert)

Listen to Floating - Kabul Fire RMX on Spotify. Song · KUOKO, Farhot, agajon · 2020

Floating - Kabul Fire RMX

Human ig | ML https://t.co/z1oe35EUBS | prev https://t.co/0c8LzrfUkx | https://t.co/Ov6cxjMPnV | Working on LLMs and learning ML systems.

Security Verification | LinkedIn

Hello everyone, My name is Anindyadeep. I am currently a student who love general ML stuffs. Now a days I am more interested into Graph ML. I will try to pub...