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Akshay Pachaar

Akshay Pachaar

61 posts published

Building Blocks of LLMs: Tokenization and Embeddings
MLOps/LLMOps Course

Building Blocks of LLMs: Tokenization and Embeddings

LLMOps Crash Course Part 2 (MLOps/LLMOps Phase-II).

· Avi Chawla

A Practical Deep Dive Into Memory Optimization for Agentic Systems (Part C)
AI Agents Course

A Practical Deep Dive Into Memory Optimization for Agentic Systems (Part C)

AI Agents Crash Course—Part 17 (with implementation).

· Avi Chawla

A Practical Deep Dive Into Memory Optimization for Agentic Systems (Part B)
AI Agents Course

A Practical Deep Dive Into Memory Optimization for Agentic Systems (Part B)

AI Agents Crash Course—Part 16 (with implementation).

· Avi Chawla

Foundations of AI Engineering and LLMs
MLOps/LLMOps Course

Foundations of AI Engineering and LLMs

LLMOps Crash Course Part 1 (MLOps/LLMOps Phase-II).

· Avi Chawla

A Practical Guide to Integrate Evaluation and Observability into LLM Apps
LLM and Fine-tuning

A Practical Guide to Integrate Evaluation and Observability into LLM Apps

A comprehensive guide to Opik, an open-source LLM evaluation and observability framework.

· Avi Chawla

CI/CD Workflows
MLOps/LLMOps Course

CI/CD Workflows

MLOps and LLMOps Crash Course—Part 18.

· Avi Chawla

Monitoring and Observability (Part B)
MLOps/LLMOps Course

Monitoring and Observability (Part B)

MLOps and LLMOps Crash Course—Part 17.

· Avi Chawla

A Practical Deep Dive Into Memory Optimization for Agentic Systems (Part A)
AI Agents Course

A Practical Deep Dive Into Memory Optimization for Agentic Systems (Part A)

AI Agents Crash Course—Part 15 (with implementation).

· Avi Chawla

Monitoring and Observability (Part A)
MLOps/LLMOps Course

Monitoring and Observability (Part A)

MLOps and LLMOps Crash Course—Part 16.

· Avi Chawla

Model Deployment (Part E)
MLOps/LLMOps Course

Model Deployment (Part E)

MLOps and LLMOps Crash Course—Part 15.

· Avi Chawla

Model Deployment (Part D)
MLOps/LLMOps Course

Model Deployment (Part D)

MLOps and LLMOps Crash Course—Part 14.

· Avi Chawla

Model Deployment (Part C)
MLOps/LLMOps Course

Model Deployment (Part C)

MLOps and LLMOps Crash Course—Part 13.

· Avi Chawla

Model Deployment (Part B)
MLOps/LLMOps Course

Model Deployment (Part B)

MLOps and LLMOps Crash Course—Part 12.

· Avi Chawla

Model Deployment (Part A)
MLOps/LLMOps Course

Model Deployment (Part A)

MLOps and LLMOps Crash Course—Part 11.

· Avi Chawla

Model Development and Optimization (Part C)
MLOps/LLMOps Course

Model Development and Optimization (Part C)

MLOps and LLMOps Crash Course—Part 10.

· Avi Chawla

Model Development and Optimization (Part B)
MLOps/LLMOps Course

Model Development and Optimization (Part B)

MLOps and LLMOps Crash Course—Part 9.

· Avi Chawla

Model Development and Optimization (Part A)
MLOps/LLMOps Course

Model Development and Optimization (Part A)

MLOps and LLMOps Crash Course—Part 8.

· Avi Chawla

Data and Pipeline Engineering-Part C (With Implementation)
MLOps/LLMOps Course

Data and Pipeline Engineering-Part C (With Implementation)

MLOps and LLMOps Crash Course—Part 7.

· Avi Chawla

Data and Pipeline Engineering—Part B (With Implementation)
MLOps/LLMOps Course

Data and Pipeline Engineering—Part B (With Implementation)

MLOps and LLMOps Crash Course—Part 6.

· Avi Chawla

Data and Pipeline Engineering—Part A (With Implementation)
MLOps/LLMOps Course

Data and Pipeline Engineering—Part A (With Implementation)

MLOps and LLMOps Crash Course—Part 5.

· Avi Chawla

Reproducibility and Versioning in ML Systems—Part B (With Implementation)
MLOps/LLMOps Course

Reproducibility and Versioning in ML Systems—Part B (With Implementation)

MLOps and LLMOps Course—Part 4.

· Avi Chawla

Reproducibility and Versioning in ML Systems—Part A (With Implementation)
MLOps/LLMOps Course

Reproducibility and Versioning in ML Systems—Part A (With Implementation)

MLOps and LLMOps Crash Course—Part 3.

· Avi Chawla

The Machine Learning System Lifecycle
MLOps/LLMOps Course

The Machine Learning System Lifecycle

MLOps and LLMOps Crash Course—Part 2.

· Avi Chawla

Background and Foundations for ML in Production
MLOps/LLMOps Course

Background and Foundations for ML in Production

MLOps and LLMOps Crash Course—Part 1.

· Avi Chawla

Building a Full-Fledged Research Assistant with MCP and LangGraph
MCP Course

Building a Full-Fledged Research Assistant with MCP and LangGraph

Model context protocol crash course—Part 9.

· Avi Chawla

A Free Mini Crash Course on AI Agents!
LLMs

A Free Mini Crash Course on AI Agents!

..powered with MCP + Tools + Memory + Observability.

· Avi Chawla

Practical MCP Integration with 4 Popular Agentic Frameworks
MCP Course

Practical MCP Integration with 4 Popular Agentic Frameworks

Model context protocol crash course—Part 8.

· Avi Chawla

Testing, Security, and Sandboxing in MCPs (Part B)
MCP Course

Testing, Security, and Sandboxing in MCPs (Part B)

Model context protocol crash course—Part 7.

· Avi Chawla

Testing, Security and Sandboxing in MCPs (Part A)
MCP Course

Testing, Security and Sandboxing in MCPs (Part A)

Model context protocol crash course—Part 6.

· Avi Chawla

Integrating Sampling into MCP Workflows
MCP Course

Integrating Sampling into MCP Workflows

Model context protocol crash course—Part 5.

· Avi Chawla