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Hands-On LLM Quantization: transformers & bitsandbytes
Part 2 : Libraries, Coding and Architecture
Jul 19
•
Kannan Kalidasan
4
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Hands-On LLM Quantization: transformers & bitsandbytes
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A Beginner's Guide to LLM Quantization
Part 1: Core Concepts and Methods
Jul 13
•
Kannan Kalidasan
3
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A Beginner's Guide to LLM Quantization
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2
Software Agents - The 3P Architecture
with Manus AI as a Case Study
Jul 6
•
Kannan Kalidasan
5
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Software Agents - The 3P Architecture
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1
June 2025
Understanding Reasoning Models
Reasoning Models 101
Jun 29
•
Kannan Kalidasan
5
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Understanding Reasoning Models
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A New Name, a Clearer Mission
A roadmap of what’s coming, what I’m writing, and what you’ll take away from this evolving newsletter.
Jun 25
•
Kannan Kalidasan
3
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A New Name, a Clearer Mission
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2
How LLMs Are Trained: A Conceptual Overview
In our previous “LLM 101 series” blog posts , we've explored fundamental concepts like tokenization, embeddings, and chunking are essential building…
Jun 15
•
Kannan Kalidasan
2
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How LLMs Are Trained: A Conceptual Overview
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What is Chunking in LLMs?
Part of "LLM 101" Series
Jun 8
•
Kannan Kalidasan
2
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What is Chunking in LLMs?
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Understanding Embeddings in LLMs
Part of "LLM 101" Series
Jun 4
•
Kannan Kalidasan
4
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Understanding Embeddings in LLMs
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What Are Tokens & Parameters in Large Language Models?
Part of "LLM 101" Series
Jun 2
•
Kannan Kalidasan
3
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What Are Tokens & Parameters in Large Language Models?
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1
Artifacts #5
The Egg Puff Engineer's Newsletter
Jun 1
•
Kannan Kalidasan
1
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Artifacts #5
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May 2025
Artifacts #4
The Egg Puff Engineer's Newsletter
May 25
•
Kannan Kalidasan
3
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Artifacts #4
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Artifacts #3
The Egg Puff Engineer's Newsletter
May 18
•
Kannan Kalidasan
3
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Artifacts #3
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