Cobus GreylingLangChain Based Plan & Execute AI Agent With GPT-4o-miniA few months ago I wrote a piece on the plan-and-solve study; which consists of two components: first, creating a plan to break the task…1d ago1d ago
Cobus GreylingLangChain Search AI Agent Using GPT-4o-miniIn this article is an end-to-end example of a LangChain Agent using OpenAI’s new Small Model for Web Search & Question Answering With…2d ago12d ago1
Cobus GreylingLarge Language Model Use & AugmentationGPT-3 was launched on May 28, 2020, and over the past four years, a rapidly developing ecosystem has emerged to create LLM-based solutions.3d ago3d ago
Cobus GreylingWebVoyager AI AgentAI agents, also known as agentic applications, can perceive their environment, process information, and make decisions or take actions to…4d ago4d ago
Cobus GreylingGPT-4o miniOpenAI states that they are advancing cost-efficient intelligence with their most cost-efficient Small Language Model.Jul 181Jul 181
Cobus GreylingRAG Implementations Fail Due To Insufficient Focus On Question IntentThe Mindful-RAG approach is a framework tailored for intent-based and contextually aligned knowledge retrieval.Jul 182Jul 182
Cobus GreylingAgentic AI: Creating An AI Agent Which Can Navigate The InternetWebVoyager is a vision-enabled web-browsing agent capable of navigating the web. It interprets annotated browser screenshots for each…Jul 17Jul 17
Cobus GreylingAgentInstruct Uses Agentic Flows To Create Synthetic Training DataFor a while now, Microsoft has been working on creating purpose specific, fine-grained, high quality synthetic training data.Jul 16Jul 16
Cobus GreylingLangSmith, LangGraph Cloud & LangGraph StudioIn this article I do a complete end-to-end walkthrough of an Agent built using LangGraph, deployed to LangGraph Cloud & viewed via…Jul 15Jul 15
Cobus GreylingSpeculative RAG By Google ResearchThis study shows how to enhance Retrieval Augmented Generation (RAG) through DraftingJul 12Jul 12