NextBigFuture

Tokens and Tokenization are an Important for Fundamental LLM Understanding

Tokens are the fundamental units that LLMs process. Instead of working with raw text (characters or whole words), LLMs ...
InfoWorld

Semantic Kernel: A bridge between large language models and your code

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...
InfoWorld

5 easy ways to run an LLM locally

Chatbots like ChatGPT, Claude.ai, and Meta.ai can be quite helpful, but you might not always want your questions or sensitive data handled by an external application. That’s especially true on ...
Hosted on MSN

How I run a local LLM on my Raspberry Pi

Smaller LLMs can run locally on Raspberry Pi devices. The Raspberry Pi 5 with 16GB RAM is the best option for running LLMs. Ollama software allows easy installation and running of LLM models on a ...
InfoQ

Hugging Face Upgrades Open LLM Leaderboard v2 for Enhanced AI Model Comparison

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Forbes

Human-Produced Content And Experts Are Crucial To Prevent LLM “Model Collapse”

When the GenAI hype was just picking up steam, I wrote about the danger of drowning in LLM-produced blah if we failed to utilize the expertise of human linguists. It gives me no pleasure to say I was ...