Technology
LLMs
Large Language Models (LLMs) are Transformer-architecture deep learning systems (e.g., GPT-4, Llama 3) trained on massive text corpora to generate, summarize, and reason over human language at scale.
LLMs are advanced deep learning models, specifically Generative Pre-trained Transformers (GPTs), designed to process and generate human-like text. They are trained on vast, multi-trillion-token datasets, giving them billions of parameters to learn complex linguistic patterns (syntax, semantics). This scale enables emergent capabilities: few-shot learning, code generation, and complex reasoning. Key examples include OpenAI's GPT-4, Google's Gemini, and Meta's Llama 3. LLMs power applications from conversational AI (ChatGPT) to automated content creation, fundamentally shifting how machines handle unstructured language.
What builders pair with LLMs
Projects using both technologies. Select a pairing to see a project.
12 more pairings
Pairing: Python
A context graph system that allows autonomous agents to make a reliable decision
Pairing: OpenAI API
Build modular and scalable agents with Julep AI
Pairing: ChatGPT
Solving a $100K Problem with $300, 3 hours and ChatGPT
Pairing: GPT-4
Self-Improving Agents with Honcho
Pairing: BERT
Self-Improving Agents with Honcho
Pairing: GPT-3
Self-Improving Agents with Honcho
Recent Talks & Demos
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