SebastianFine Tuning LLMs: Training with Cloud ResourcesFine-Tuning LLMs with 7B or more parameters require substantial hardware resources. One option is to build and on-premise computer with…Nov 11Nov 11
SebastianLLM GUI: Custom Python Gradio InterfaceWhen using Large Language Models (LLMs) via an API or locally, a quasi-standard for representing the chat history is recognizable: A list…Oct 31Oct 31
SebastianLLM Agents: Introduction to CrewAIAgent frameworks powered by LLMs promise to catapult autonomous task solving to unprecedented levels. Instead of rigid programming, LLMs…Oct 21Oct 21
SebastianLLM Agents: Multi-Agent Chats with AutogenAn agent is a Large Language Models customized with a system prompt so that it behaves in a specific way. The prompt typically details task…Oct 10Oct 10
SebastianLLM Agents: Custom Tools in AutogenLarge Language Models used as agents promise automatic task solution and to promote LLM usage to the next level. Effectively, an agent is…Sep 30Sep 30
SebastianLLM Agents: Introduction to AutogenIn my ongoing quest to design a question-answer system, agents are the final available design. An LLM agent is an instance of an LLM with a…Sep 23Sep 23
SebastianLangChain: Building a local Chat Agent with Custom Tools and Chat HistoryThe LangChain library spearheaded agent development with LLMs. When running an LLM in a continuous loop, and providing the capability to…Sep 16Sep 16
SebastianAdvanced LangChain: Memory, Tools, AgentsLarge Language Models (LLMs) are complex neural networks of the transformer architecture with millions or billions of parameters. Trained…Sep 9Sep 9
SebastianRetrieval Augmented Generation Frameworks: AutoGenWith an Retrieval Augmented Generation (RAG) framework, documents relevant for a given user query can be extracted from a database and used…Sep 21Sep 21
SebastianRetrieval Augmented Generation Frameworks: HayStackLarge Language Models need accurate and up-to-date information when generating text for specific domains or with content from private data…Aug 26Aug 26
