Discover alternative large language model architectures beyond GPT, including PaLM, Turing NLG, and UL2, and how they’re advancing natural language processing with unique capabilities.
Latest Posts
Wanda: A Simple Yet Powerful Approach to Pruning Large Language Models
Explore how the Wanda pruning technique can reduce large language model size by 50% without retraining, maintaining performance while dramatically improving efficiency through innovative weight-activation analysis.
The AI Tooling Landscape: A Comprehensive Guide for Practitioners
Discover the essential tools powering modern AI development, from on-device inference and agent frameworks to evaluation platforms and fine-tuning solutions for every stage of the machine learning lifecycle.
Understanding Transformer Architectures: BERT vs. GPT
Compare the key differences between encoder-based BERT and decoder-based GPT transformer architectures, exploring their distinct approaches to language understanding and generation.
Cognitive Architectures for Language Agents (CoALA): Building Robust AI Systems
Explore the CoALA framework that combines cognitive science principles with large language models to create more capable AI agents with improved reasoning, memory, and planning capabilities.
Graph of Thoughts: Solving Complex Problems with Large Language Models
Explore the Graph of Thoughts (GoT) paradigm that revolutionizes LLM reasoning by organizing thoughts in a directed graph, enabling non-linear problem-solving through merging parallel ideas and iterative refinement.