11 min read

A practical guide to choosing Sarvam 30B vs Sarvam 105B, handling code-mixed Indian-language input, and evaluating Sarvam LLMs for production apps.

9 min read

When to use Structured Outputs instead of JSON mode, and how to validate schema-constrained model responses in production workflows.

10 min read

A production checklist for running computer-use agents in isolated desktops or browsers with safer permissions and approval gates.

8 min read

How to use prompt caching to reduce latency and cost when agents reuse long system prompts, tools, documents, and examples.

10 min read

A clear comparison of Agent2Agent (A2A) and Model Context Protocol (MCP), including when to use each in multi-agent systems.

9 min read

How to use Claude XML tags to structure instructions, examples, documents, sources, and user input in long-context prompts.

11 min read

A practical checklist for defending AI agents against agentjacking, indirect prompt injection, unsafe tool calls, and computer-use hijacking.

15 min read

This tutorial covers the implementation of planner-executor loops in AI systems, focusing on failure recovery strategies. Prerequisites include familiarity with AI workflows and basic programming skills.

16 min read

This tutorial explores the trade-offs between offline and online evaluation frequencies for AI models used in healthcare applications. Prerequisites include knowledge of AI model evaluation metrics and healthcare domain specifics.

14 min read

This tutorial focuses on enhancing observability in data pipelines that utilize large language models (LLMs) by implementing tracing for both LLM and tool spans. Prerequisites include familiarity with observability concepts and experience with LLMs.

18 min read

This tutorial explains how to design and implement planner-executor loops in AI systems, including strategies for failure recovery. Prerequisites include knowledge of AI workflows and basic programming skills.

12 min read

This tutorial guides you through setting up Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for generative AI endpoints used in customer support scenarios. Prerequisites include familiarity with service metrics and basic knowledge of AI endpoint operations.

15 min read

This tutorial covers how to implement effective defenses against prompt injection attacks in multi-tenant SaaS applications, focusing on security measures and user isolation techniques. Prerequisites include a basic understanding of multi-tenant architectures and security best practices.

12 min read

This tutorial provides a comprehensive guide to generating synthetic data for training classifiers in legal AI applications, focusing on improving model performance and reducing bias. Prerequisites include knowledge of machine learning and legal domain concepts.

16 min read

This tutorial examines the effects of quantization on retrieval quality in financial data systems. Prerequisites include knowledge of machine learning and data retrieval concepts.

18 min read

This tutorial explores the integration of BM25 and dense re-ranking for enhancing academic search engines. Familiarity with information retrieval concepts is required.

15 min read

This tutorial covers the implementation of cross-encoder re-rankers to improve product recommendations in e-commerce platforms. Prerequisites include familiarity with machine learning concepts and access to a dataset of product interactions.

20 min read

This tutorial demonstrates how to generate synthetic data for fine-tuning classifiers in legal AI applications, ensuring compliance and accuracy. Prerequisites include a basic understanding of machine learning and legal terminology.

15 min read

This tutorial explores effective chunking strategies tailored for medical PDFs, enhancing retrieval performance for patient data. Prerequisites include familiarity with PDF structures and basic NLP techniques.

13 min read

This tutorial explores the generation and use of synthetic data to fine-tune classifiers in legal AI applications, addressing challenges like data scarcity. Prerequisites include knowledge of machine learning concepts and experience with data generation techniques.

10 min read

This tutorial outlines the implementation of metadata filters and Access Control List (ACL)-aware retrieval systems in legal document management applications. Prerequisites include knowledge of legal data structures and basic programming skills.

12 min read

This tutorial investigates the effects of quantization on retrieval quality in healthcare applications, focusing on the trade-offs between model size and accuracy. Prerequisites include a basic understanding of machine learning models and quantization techniques.

16 min read

This tutorial discusses effective backfill strategies to manage data consistency and integrity after schema changes in data warehousing environments. Prerequisites include knowledge of SQL and data warehousing concepts.

22 min read

This tutorial focuses on implementing cross-encoder re-rankers for large-scale content recommendation systems, emphasizing their performance and scalability. Prerequisites include experience with machine learning and recommendation systems.