Deep Dives
APR29
The Rise of Intelligent Insurance
The era of gut-feel insurance is over, AI is rewriting the rules of risk.
Sachin TripathiSachin Tripathi
Sachin Tripathi is the Manager of AI Research at AIM, with over a decade of experience in AI and Machine Learning. An expert in generative AI and large language models (LLMs), Sachin excels in education, delivering effective training programs. His expertise also includes programming, big data analytics, and cybersecurity. Known for simplifying complex concepts, Sachin is a leading figure in AI education and professional development.
12 posts published
Sachin TripathiDeep Dives
JAN15
A Practical Guide to Tracing and Evaluating LLMs Using LangSmith
Explore LangSmith, a platform for enhancing LLM transparency and performance through comprehensive tracing and evaluation tools.
Sachin TripathiDeep Dives
JAN8
Model Context Protocol: A Standard for Interoperable and Context-Aware AI
Model Context Protocol (MCP) enables an interoperable, scalable integration between LLMs, tools, and real-world data systems.
Sachin TripathiDeep Dives
JAN6
Visualizing LLM Performance through Monitoring Dashboards
Monitoring dashboards transform complex telemetry into clear insights on system health and performance.
Sachin TripathiDeep Dives
JAN5
A Practitioner’s Guide to Nexus - A Scalable Multi-Agent Framework
Nexus simplifies building scalable multi-agent systems through lightweight, reusable LLM workflows.
Sachin TripathiDeep Dives
JAN5
Thought-Augmented Reasoning through Buffer of Thoughts (BoT)
Buffer of Thoughts enhances LLM reasoning using meta-buffers and managers, outperforming larger models.
Sachin TripathiDeep Dives
JAN5
A Practitioner’s Guide to Agent Communication Protocol (ACP)
Open-source ACP standard enables interoperable AI agents to communicate across diverse frameworks.
Sachin TripathiDeep Dives
DEC29
Information Extraction through Google’s LangExtract
LangExtract, Google’s Gemini-powered library, extracts structured, source-grounded data from unstructured text.
Sachin TripathiDeep Dives
DEC3
Building Agentic AI Applications using OpenAI Agents SDK
OpenAI's Agents SDK enables efficient multi-agent workflows with context, tools, handoffs, and monitoring.
Sachin Tripathi9 min
Deep Dives|Uncategorized
OCT3
Observing and Tracing Multi-Modal Multi-Agent Systems through Portkey
Portkey enables observability and tracing in multi-modal, multi-agent systems for enhanced understanding and development.
Sachin Tripathi15 min
Deep Dives
JUL3
A Practioner’s Guide to PydanticAI Agents
PydanticAI Agents leverage Pydantic’s validation to build reliable, type-safe AI decision-making systems.
Sachin Tripathi8 min
Continuous Learning
MAY9
Unlock On-Device AI through Google’s EmbeddingGemma
Google's new on-device AI model, EmbeddingGemma, for RAG and semantic search.
Sachin Tripathi10 min