Prashant Kumar

LLMs powering Computer Vision tasks

💡This is a community post by Prashant Kumar Computer vision turns visual data into valuable insights, making it exciting. Now, with Large Language Models (LLMs)

community 4 min read

Customer support bot with OpenAI's Swarm Agent

💡This is a community blog by Prashant Kumar Difference between an assistant and a Swarm Agent- an assistant is a simple sequential program without function

community 4 min read

Implement contextual retrieval and prompt caching with LanceDB

Decrease chunk retrieval failure rate by 35% to 50% Have you ever worked on a task where your users search in one language and the

community 7 min read

Cambrian-1: Vision-Centric Search

Cambrian-1 is a family of multimodal LLMs (MLLMs) designed with a vision-centric approach. While stronger language models can boost multimodal capabilities, the design choices for

community 4 min read

Benchmarking GPT4-o

Last week, OpenAI announced its latest LLM, GPT-4o, which follows GPT-4 Turbo. In this blog, we benchmark GPT4-o using a new benchmarking toolkit called "

community 3 min read

Chunking techniques with Langchain and LlamaIndex

In our last blog, we talked about chunking and why it is necessary for processing data through LLMs. We covered some simple techniques to perform

community 15 min read

Track AI Trends: CrewAI Agents & RAG

This article will teach us how to make an AI Trends Searcher using CrewAI Agents and their Tasks. But before diving into that, let'

Blog 5 min read

Implementing Corrective RAG in the Easiest Way

Even though text-generation models are good at generating content, they sometimes need to improve in returning facts. This happens because of the way they are

Blog 5 min read

Benchmarking New OpenAI Embedding Models with LanceDB

A couple of weeks ago, OpenAI launched their new and most performant embedding models with higher multilingual performance and new parameters to control the overall

Blog 3 min read

Langroid: Multi-Agent Programming framework for LLMs

In this era of Large Language Models (LLMs), there is unprecedented demand to create intelligent applications powered by this transformative technology. What is the best

Blog 5 min read

Inverted File Product Quantization (IVF_PQ): Accelerate vector search by creating indices

Vector similarity search is finding similar vectors from a list of given vectors in a particular embedding space. It plays a vital role in various

Blog 6 min read

Accelerate Vector Search Applications Using OpenVINO & LanceDB

In this article, We use CLIP from OpenAI for Text-to-Image and Image-to-Image searching and we’ll also do a comparative analysis of the Pytorch model,

Blog 8 min read