article thumbnail

All You Need to Know About Gemma, the Open-Source LLM Powerhouse

Analytics Vidhya

Google has been a frontrunner in AI research, contributing significantly to the open-source community with transformative technologies like TensorFlow, BERT, T5, JAX, AlphaFold, and AlphaCode. What is Gemma LLM?

LLM 274
article thumbnail

FastGen: Cutting GPU Memory Costs Without Compromising on LLM Quality

Marktechpost

Many works have been carried out to enhance the model efficiency for LLMs, e.g., one such method is to skip multiple tokens at a particular time stamp. However, these models are only applied to non-autoregressive models and require an extra re-training phrase, making them less suitable for auto-regressive LLMs like ChatGPT and Llama.

LLM 114
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Build Your Own RLHF LLM — Forget Human Labelers!

Towards AI

Author(s): Tim Cvetko Originally published on Towards AI. I would never have put my finger that the next big revolution in AI would have happened on the text front. Self-Play LLMs Reinforcement learning from human feedback(RLHF) refers to using human labels as a reward policy the LLM uses to evaluate itself. into ChatGPT?

LLM 99
article thumbnail

Supercharging Graph Neural Networks with Large Language Models: The Ultimate Guide

Unite.AI

Trained on massive text corpora with billions of parameters, LLMs exhibit remarkable few-shot learning abilities, generalization across tasks, and commonsense reasoning skills that were once thought to be extremely challenging for AI systems.

article thumbnail

Understanding Key Terminologies in Large Language Model (LLM) Universe

Marktechpost

Understanding the terminology, from the foundational aspects of training and fine-tuning to the cutting-edge concepts of transformers and reinforcement learning, is the first step towards demystifying the powerful algorithms that drive modern AI language systems. This process is foundational for developing any AI that handles language tasks.

article thumbnail

LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses. LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

article thumbnail

A General Introduction to Large Language Model (LLM)

Artificial Corner

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.