Steven AI Talk

🚀 Stanford University CS336 Lecture 14 Language Model Data Filtering and Deduplication Algorithms [notebooklm summary]

🚀 Stanford University CS336 Lecture 14 Language Model Data Filtering and Deduplication Algorithms [notebooklm summary] This lecture explores the data processing mechanics used for training language models, focusing specifically on quality filtering and data deduplication algorithms. Training data for language models i... All my links: https://linktr.ee/learnbydoingwithsteven [https://linktr.ee/learnbydoingwithsteven] #learnbydoingwithsteven #AI #DeepLearning #Research #TechSummary #MachineLearning #LLM #ScalingLaws #NeuralNetworks #Innovation

The Agentic Architecture: Five Essential AI Terms Explained

✅ Recently, the evolution of Artificial Intelligence from conversational models to autonomous agents is driven by an instruction layer wrapped around Large Language Models (LLMs). ✅ The internal behavioral framework of an agent is defined by project-specific rules in the agents. ✅ While project rules are governed by agents. ✅ Connectivity and interoperability are crucial for autonomous agents to interact with external environments. All my links: ⁠https://linktr.ee/learnbydoingwithsteven⁠ [https://linktr.ee/learnbydoingwithsteven] Website: ⁠https://learnbydoingwithsteven.github.io⁠ [https://learnbydoingwithsteven.github.io/] #AIAgents #AgenticAI #SoftwareEngineering #LLMs #ModelContextProtocol #SystemSecurity #Microservices #AIAgentsOrchestration #learnbydoingwithsteven

The Agentic Architecture: Five Essential AI Terms Explained

✅ Recently, the evolution of Artificial Intelligence from conversational models to autonomous agents is driven by an instruction layer wrapped around Large Language Models (LLMs). ✅ The internal behavioral framework of an agent is defined by project-specific rules in the agents. ✅ While project rules are governed by agents. ✅ Connectivity and interoperability are crucial for autonomous agents to interact with external environments. All my links: https://linktr.ee/learnbydoingwithsteven [https://linktr.ee/learnbydoingwithsteven] Website: https://learnbydoingwithsteven.github.io [https://learnbydoingwithsteven.github.io/] #AIAgents #AgenticAI #SoftwareEngineering #LLMs #ModelContextProtocol #SystemSecurity #Microservices #AIAgentsOrchestration #learnbydoingwithsteven

Data Science Periodic Table Explained: A Strategic Map for Analytical Maturity and Workflow

✅ Recently, the landscape of data science is often perceived as a confusing collection of disparate terms and techniques, ranging from ETL to cross-validation. ✅ The horizontal structure of the table tracks the data data maturity lifecycle, moving from unrefined data to actionable insights. ✅ The columns of the table represent analytical activities that define the functional stages of the lifecycle, ranging from data acquisition to evaluation. ✅ The modeling and relationship estimation phase forms the core of pattern discovery, utilizing diverse statistical techniques. All my links: https://linktr.ee/learnbydoingwithsteven [https://linktr.ee/learnbydoingwithsteven] #DataScience #MachineLearning #ETL #DataGovernance #QuantumComputing #AI #ModelEvaluation #BigData #Analytics #learnbydoingwithsteven

The Production AI Playbook: Five Pillars for Enterprise Scaling

✅ Transitioning AI from prototype to production requires closing three critical gaps: observability, evaluation, and governance. ✅ The "Week 7 Rule" advises building the evaluation layer and data foundation before choosing a specific model. ✅ Enterprise evaluation requires a three-layered defense: deterministic checks, semantic judges, and behavioral decision tracing. ✅ A bifurcated data strategy separating question data from tracking logs is essential to prevent agent hallucinations. All my links: https://linktr.ee/learnbydoingwithsteven [https://linktr.ee/learnbydoingwithsteven] #AI #SoftwareEngineering #AIEngineer #AIAgents #MultiAgentOrchestration #EnterpriseAI #TokenEfficiency #SystemSecurity #LLMs #StevenDataTalk #learnbydoingwithsteven