InAI AdvancesbyDr. Ashish BamaniaLLMs Can Now Be Pre-Trained Using Pure Reinforcement LearningA deep dive into Reinforcement Pre-Training (RPT), a new technique introduced by Microsoft researchers to scalably pre-train LLMs using RL.Jun 26A response icon5Jun 26A response icon5
IneqtventuresbyEQT VenturesKnowledge Graph(s) and LLM-based ontologies have a very good shot at unlocking GenAI in productionBy: Julien Hobeika, Pierrick Cudonnec and Alexander Fred-OjalaDec 19, 2024A response icon9Dec 19, 2024A response icon9
InData Science CollectivebyGustavo R SantosModern NLP: Tokenization, Embedding, and Text ClassificationLearning modern Natural Language Processing with Python code.Feb 28A response icon6Feb 28A response icon6
InAI AdvancesbyPurusharth MalikHow did we get to vLLM, and what was its genius?The evolution of the model serving landscapeFeb 15A response icon1Feb 15A response icon1
InTowards AIbyAlex PunnenExplaining Transformers as Simple as Possible through a Small Language ModelAnd understanding Vector Transformations and VectorizationsFeb 14A response icon15Feb 14A response icon15
InData Science CollectivebyEric BrodaAn Opinionated Perspective on Current Agent ToolkitsAgent toolkits are evolving rapidly, but which best balances enterprise-grade capabilities, agent functionality, and developer experience?Feb 20A response icon19Feb 20A response icon19
InTDS ArchivebyYouness MansarKeeping Your AI Agent in Check: An Introductory Guide to Traces, Metrics and LoggingLearn how to implement metrics, logs, and centralized monitoring to keep your AI agents robust and production-readyNov 14, 2024Nov 14, 2024
InVedcraftbyAnkur KumarBuilding Intelligent Apps with Agentic AI: Top Frameworks to Watch for in 2025Jan 24A response icon30Jan 24A response icon30
InTDS ArchivebyEric BrodaAgentic Mesh: Towards Enterprise-Grade AgentsEnterprise-grade capabilities will make or break the future of agent adoption. Without them, agents adoption will collapse.Jan 21A response icon8Jan 21A response icon8
InData Science in Your PocketbyMehul GuptaWhy AI Agents will be a huge disasterProblems with AI AgentsJan 20A response icon155Jan 20A response icon155
InThe GeneratorbyMaximilian VogelThe Perfect Prompt: A Prompt Engineering Cheat SheetAug-12th, 2024: Updated, new resources added.Apr 8, 2024A response icon49Apr 8, 2024A response icon49
Raphael MansuyZero to Hero: Prompt Engineering for MarketersWhy LLM Prompt Engineering Matters for MarketersSep 2, 2024Sep 2, 2024
Cobus GreylingTransforming Industries with Vertical AI AgentsA recent study explored the pivotal role AI Agents will play in various industry verticals. It also introduced the concept of Cognitive…Jan 8A response icon5Jan 8A response icon5
Batuhan SenerAI-Powered Financial Analysis: Multi-Agent Systems Transform Data into InsightsClick the Link !Jul 31, 2024A response icon3Jul 31, 2024A response icon3
InAI AdvancesbyKaitai DongRailway Ontology Inspired Fine-Tuning and Evaluation of LLMs Using MLflow for More Effective…Effectively tailor LLMs with domain-specific knowledge and ontology to better identify defective rail components and recommend consistent…Dec 30, 2024A response icon4Dec 30, 2024A response icon4
InLevel Up CodingbyIda SilfverskiöldAgentic AI: Build a Tech Research AgentUsing a custom data pipeline with millions of textsSep 6, 2024A response icon24Sep 6, 2024A response icon24
InTDS ArchivebyPeng QianDeep Dive into LlamaIndex Workflow: Event-Driven LLM ArchitectureWhat I think about the progress and shortcomings after practiceDec 17, 2024A response icon2Dec 17, 2024A response icon2
InTowards AIbyIsuru Lakshan EkanayakaBuilding Multi-Agent AI Systems From Scratch: OpenAI vs. OllamaIn the dynamic realm of artificial intelligence, multi-agent systems have emerged as a transformative approach for addressing complex tasks…Nov 17, 2024A response icon2Nov 17, 2024A response icon2
InThe AI ForumbyPlaban NayakCreate a ReACT agent from scratch without using any LLM Frameworks only with Python and Groq.What is an Agent?Aug 4, 2024A response icon2Aug 4, 2024A response icon2
