John Jacob

Say Hello to Google’s Bard

Google’s Bard, a Chat-GPT rival powered by LaMDA.

What is FLAN-T5? Is FLAN-T5 a better alternative to GPT-3?

FLAN-T5, developed by Google, has been gaining a lot of traction as a potential alternative to GPT-3.

The use of Speech-to-Text in the classroom

Extract intelligent insights from classroom interactions using Exemplary AI.

How ASR Speech Technology Helps Podcasting

In a rapidly evolving world, ASR has had a significant impact on the podcasting industry

OpenAI ChatGPT, its use-cases and impact.

Open AI's ChatGPT has taken the world by storm and we go through its use-cases.

The use of Speech-to-Text in the courtroom

Extract valuable insights from courtroom discussions using Exemplary AI.

Sentiment Analysis - What is it? And its use cases.

We look what sentiment analysis and use it to detect sentiment of spoken text such as transcripts. We also delve into where sentiment analysis is particularly useful.

Extract Insights from meetings using Exemplary AI

Automatically extract valuable insights from meetings and we describe the types of insights you can extract using Exemplary AI.

LLMs, a brief history and their use cases

LLMs or Large Language Models are machine learning models trained on a massive corpus and have shown exceptional capacity in Language Understanding.

The need for a Unified API and reasons to use it instead of directly integrating with Speech To Text providers

Exemplary AI’s Unified API is a vendor-agnostic open API, you may use access the best Speech-to-Text and NLP providers.

OpenAI Whisper: what it is, how to use it, cost

Whisper is OpenAI's free, MIT-licensed speech-to-text model. How to run it locally, which model to pick, API prices and its known limits.

List of Transcription Editors to consider for perfect transcripts / captions

Evaluation a means to generate and edit your transcripts? Use these transcript editors help to create, edit and deliver perfect transcript or captions.

ASR - A brief history and intro

Automated Speech Recognition (ASR) transcribes voice audio data into text data, that which is consumable and searchable. We go through its history and the current state of the art.