Meta has recently released the largest version of its mostly free Llama 3 artificial intelligence model, boasting impressive multilingual capabilities and superior general performance. With 405 billion parameters, this new version is significantly larger than its predecessor released last year.
Category: Gen AI For All
Resources designed for every stage of the Generative AI journey, from articles and posts to detailed documents. Each is crafted in a clear and accessible format, making them easy to understand for both beginners and experienced professionals alike.
With a free Gemini Basic version available and a paid Gemini Advanced model, it’s always interesting to wonder whether it’s worth getting access to the Advanced model. Today in this document, I will share my detailed analysis and comparison between
Quantum computing in the Generative AI space is in its early stages, marked by significant research and experimental developments. While practical applications are limited by current technological constraints, ongoing advancements and increasing investment suggest a promising future where quantum computing
Research papers often present a daunting level of complexity or an overwhelming amount of detail that can be challenging to understand and comprehend. Generative AI can make this process of understanding and decoding the document very easy. The document discusses
Today’s post shares a summary of key performance indicators (KPIs) for validating large language models (LLMs). It offers concise explanations and formulas for each KPI, along with example values to illustrate what constitutes “good” and “poor” model performance. The KPIs
In the previous post we have talked about how Data Science is critical element for Credit Risk. With the invent of Generative AI, LLM models, faster GPUs, there are multiple different applications opening up in the area of Credit Risk.
ChatGPT which brought a huge revolution in Generative AI space, has seen various key milestones during its development. This document covers its journey from concept to where it currently stands: 𝟐𝟎𝟏𝟓: OpenAI was founded with the vision of creating AGI
Writing effective and efficient prompts can make our Generative AI usage very productive. There are some free resources available online which can help you directly copy some best prompts catered to specific need.I am sharing three Free to use Prompt
I am sharing a series of documents that will help to understand Transformer Architecture from end to end, and in easy to understand language. Transformer Architecture remains the backbone of Generative AI LLM Models. Understanding this will help you a
In the ongoing series to explain Transformer Architecture better, this document is focused on Decoder. The Transformer decoder is a neural network component designed to generate output sequences based on encoded input representations. It employs self-attention mechanisms to understand the