This article is inspired by the OpenAI Cookbook entry “Context Engineering — Short-Term Memory Management with Sessions from OpenAI Agents SDK” by Emre Okcular.
#ContextEngineering #AIAgents #OpenAI #LLM #AIEngineering #MemoryOptimization #OpenAICookbook #AISparks #GenerativeAI #AIProductDesign
Discover how AI evaluation is evolving — from LLM-as-a-Judge to Agent-as-a-Judge. In this episode, i breaks down how autonomous agents are reshaping how we test and measure AI systems — making evaluations faster, smarter, and more realistic.
#AISparks #AIEvaluation #AIJudge #AgenticAI #LLMasAJudge #AgentAsAJudge #AIAgents #AIEthics #GenerativeAI #AIEngineering
In this episode, I dives into the paper “Fundamentals of Building Autonomous LLM Agents” (Oct 2025). Discover how AI is evolving from chatbots to fully autonomous agents — systems that can perceive, reason, remember, and act independently. We unpack core architectural building blocks like perception systems, reasoning models, RAG-based memory, and multi-agent collaboration that make LLM agents more human-like than ever
#AISparks #LLMAgents #AgenticAI #GenerativeAI #AIAutonomy #TreeOfThought #ReflectionAgents #RAG #AIResearch #AIArchitecture #MultiAgentSystems #AIForEveryone #PraveenGovindaraj #SingtelAI #PodcastAI
Final answers don’t tell the whole story. This episode breaks down a 2025 paper that redefines “good reasoning” for LLMs using Relevance and Coherence, introduces CaSE (a causal, step-wise evaluator), new benchmarks (MRa-GSM8K/MRa-MATH), and shows practical gains from aspect-guided prompting and CaSE-based data curation. If you build or evaluate reasoning models, this is your new checklist.
Source - https://arxiv.org/abs/2510.20603
#AISparks #LLM #Reasoning #ChainOfThought #MetaReasoning #CausalEvaluation #CaSE #GSM8K #AIME #PromptEngineering #ProcessSupervision #DataCuration #AIResearch #NLP #GenAI
Steerable Multi-Agent Deep Research — Smarter, Transparent AI for the Enterprise
#AISparks #EnterpriseAI #AgenticAI #DeepResearch #SalesforceAI #MultiAgentSystems #SteerableAI
“The Gen AI Playbook for Organizations (HBR)”
In this 2-minute episode, Praveen breaks down Bharat Anand & Andy Wu’s Harvard Business Review playbook for putting GenAI to work now—not in theory. We cover how to start with strategy (not the model), pick “right-risk, high-frequency” workflows, redesign processes instead of bolt-ons, and build your unfair advantage with data, guardrails, and talent. You’ll leave with a crisp 30/60/90-day plan to move beyond pilots, measure impact, and scale what works—safely.
🎧 Perfect for enterprise leaders, AI PMs, and ops teams turning GenAI from demo to durable moat.
#GenAI #AIStrategy #EnterpriseAI #DigitalTransformation #AIGovernance #AIOps #AIPilots #AIDeployment #AIWorkflows #LLM #PromptEngineering #RAG #MLOps #ChangeManagement #DataStrategy #Innovation #Automation #Productivity #HarvardBusinessReview #AIForBusiness
LLM coding analysis, GPT-5 Sonar Report, Claude Sonnet AI, GPT-4o vs GPT-5, AI code quality, AI developer tools, AI in software engineering, coding assistant benchmark, AI security risks, maintainable AI code, SonarQube AI analysis
#AISparks #PraveenGovindaraj #GPT5 #ClaudeSonnet #SonarReport #StateOfCode #AICoding #LLM #AIEngineering #SoftwareDevelopment #AIAssistants #CodingAI #AIForDevelopers #GenerativeAI #AIInnovation #AIFuture #TechPodcast #AIEthics #AICodeQuality #TrustButVerify
My thought on AI agentic frameworks
About Gemini 2.5 from Google DeepMind — a family of models built for advanced reasoning, long context, and real agent workflows
#AISparks #Gemini25 #GoogleDeepMind #AIAgents #MultimodalAI #ThinkingModels #AIResearch #LLMs #FutureOfAI #AgenticAI
Discover the five Agentic AI design patterns — ReAct, CodeAct, Self-Reflection, Multi-Agent, and Agentic RAG — shaping how AI systems think, act, and collaborate.
Tune in to learn how these patterns are transforming simple chatbots into intelligent, autonomous teammates. 🚀
#AISparksPodcast #AgenticAI #AIDesignPatterns #AIAgents #GenAI #AIEngineering #ReActPattern #CodeAct #SelfReflectionAI #AgenticRAG #TechPodcast #AIExplained #FutureOfWork
SEAL framework from MIT research
Self-Adapting Language Models
Stanford’s AgentFlow gives AI agents a clear reasoning roadmap — boosting task success by up to 25% and making them think in structured, human-like steps.
It’s a big move toward AI that doesn’t just respond, but truly plans, learns, and evolves.
https://arxiv.org/pdf/2506.10943
#AISparks #AgentFlow #StanfordAI #AIResearch #AIAgents #GenerativeAI #ReasoningAI #LLMFrameworks #AIInnovation #ArtificialIntelligence #FutureOfAI #ContextEngineering #PromptEngineering #AgenticAI #AIEvolution
AgentFlow - IN-THE-FLOW AGENTIC SYSTEM OPTIMIZATION FOR
EFFECTIVE PLANNING AND TOOL USE
https://arxiv.org/pdf/2510.05592
Podcast about AI paper - Agentic Context Engineering: Evolving Contexts for Self-Improving
Language Models
https://arxiv.org/pdf/2510.04618
OpenAI AgentKit - Agent designer
