Prashant Dixit – Medium

Prashant Dixit

Published in
Towards AI

Build Product Knowledge Graph using LLM

Extracting attribute-value information from unstructured data is called named entity recognition. There are various ways of performing it

Aug 1, 2024

Build Product Knowledge Graph using LLM

Aug 1, 2024

Published in
Towards AI

Structured Financial data Extraction from Unstructured data

Structured outputs in RAG and LLM pipelines enhance accuracy, clarity, and ease of understanding, making them more compatible with other sys

Jul 9, 2024

Structured Financial data Extraction from Unstructured data

Jul 9, 2024

Published in
LanceDB

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…

Feb 13, 2024

Benchmarking New OpenAI Embedding Models with LanceDB

Feb 13, 2024

Published in
LanceDB

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…

Jan 8, 2024

Langroid: Multi-Agent Programming framework for LLMs

Jan 8, 2024

Published in
LanceDB

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…

Dec 18, 2023

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

Dec 18, 2023

Published in
LanceDB

Accelerate Vector Search Applications Using Openvino

we’ll also do a comparative analysis of the Pytorch model, FP16 Openvino format, and INT8 Openvino format in terms of speedup.

Dec 6, 2023

Accelerate Vector Search Applications Using Openvino

Dec 6, 2023

Published in
LanceDB

Sentiment Analysis powered by semantic search using LanceDB

Sentiment Analysis also known as Opinion Mining is a NLP technique that is used to analyze texts for polarity, from positive to negative…

Nov 20, 2023

Sentiment Analysis powered by semantic search using LanceDB

Nov 20, 2023

Published in
LanceDB

NER-powered Semantic Search using LanceDB

NER stands for Named Entity Recognition, a form of natural language processing (NLP) that involves extracting and identifying essential…

Nov 8, 2023

NER-powered Semantic Search using LanceDB

Nov 8, 2023

Published in
LanceDB

A Primer on Text Chunking and its Types

Text chunking is a technique in natural language processing that divides text into smaller segments, usually based on the parts of speech…

Oct 25, 2023

A Primer on Text Chunking and its Types

Oct 25, 2023

Generative Image Dynamics Summary

Recently a new Google Research has been published under the name of Generative Image Dynamics which seems astonishing to everyone because…

Sep 28, 2023

Generative Image Dynamics Summary

Sep 28, 2023

Fake Faces Classifier using Tensorflow

StyleGAN2 architecture generates the faces at an exceptional level indistinguishable from real but still can be identified using…

Aug 14, 2022

Fake Faces Classifier using Tensorflow

Aug 14, 2022

What is TinyML ? Why TinyML will soon be everywhere

TinyML will soon be everywhere, powering the next generation of smart embedded devices.

Jun 13, 2022

What is TinyML ? Why TinyML will soon be everywhere

Jun 13, 2022

Published in
Geek Culture

Why and Which Database in Machine Learning, MySQL or MongoDB

Data is God in the world of Machine Learning, deal and manage it wisely — Prasant Kumar

Jan 30, 2022

Why and Which Database in Machine Learning, MySQL or MongoDB

Jan 30, 2022

How to Deploy ML Models to Production?

As ML adoption has increased, addressing these unique challenges has given rise to the completely new subfields of ML Engineering and…

Dec 27, 2021

How to Deploy ML Models to Production?

Dec 27, 2021

Published in
Artificialis

Parameters in Convolutional Network

How important is it to deal with the parameters in Convolutional Neural Network, what are the impacts which it leave on model?

Dec 22, 2021

Parameters in Convolutional Network

Dec 22, 2021

Published in
Artificialis

The Softmax function and misconceptions

Softmax is a mathematical function used to normalize the values between 0 and 1.

Sep 18, 2021

The Softmax function and misconceptions

Sep 18, 2021

Published in
Geek Culture

Flattening layer in Computer Vision

In this article, You will understand what is Flattening, why it is necessary to be included in Computer Vision architecture, and what will…

Aug 30, 2021

Flattening layer in Computer Vision

Aug 30, 2021

Published in
Geek Culture

Why is Odd sized kernel preferred over Even sized kernel?

I hope everyone will be aware of the role of kernels in Computer Vision. You must have observed that We generally use Odd sizes of Kernel…

Aug 27, 2021

Why is Odd sized kernel preferred over Even sized kernel?

Aug 27, 2021

Published in
Geek Culture

Max Pooling, Why use it and its advantages.

There are many operations that are applied to an image in order to extract the most important features using Convolution and Max Pooling.

Aug 24, 2021

Max Pooling, Why use it and its advantages.

Aug 24, 2021

Published in
Geek Culture

DeConvolution and How it works and its importance?

Before Deconvolution, let's quickly review What Convolution is.

Aug 22, 2021

DeConvolution and How it works and its importance?

Aug 22, 2021

Prashant Dixit

Prashant Dixit

AI/Computer Vision/LLM Researcher • Open-source ML • Building AI/GenAI applications • Writing for making Life easier https://x.com/Prashant_Dixit0

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