Aleph Alpha solves a fundamental GenAI problem: tokenizers
Aleph Alpha's new LLM architecture enhances multilingual AI efficiency by eliminating tokenizers, allowing for improved processing of languages and reduced energy costs.
GitHub - humanlayer/12-factor-agents: What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
GitHub - humanlayer/12-factor-agents: What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Biological Space Tech That Is Sun Powered, Sentient and Can Reproduce | HackerNoon
Imagine a fat, frustrating, overbearing, overcunning boss, and world domination. While it commands humans left and right. For 'our own benefit'. Yeah. Right.
TnT-LLM: Automating Text Taxonomy Generation and Classification With Large Language Models | HackerNoon
The TnT-LLM framework improves taxonomy generation and text classification by combining a zero-shot approach for taxonomy creation with pseudo-labeling from LLM outputs.
Understanding RAG architecture and its fundamentals | Computer Weekly
The industry is seeing a growing focus on retrieval augmented generation (RAG) architectures, which combine generative AI with enterprise search for accurate answers.