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Samir Solanki releases two visual guides on LLMs and AI Agents

By PulseAugur Editorial · [2 sources] ·

Samir Solanki has released two new books on Leanpub focused on Large Language Models and AI Agents. "The Complete LLMs & AI Agents Collection" offers visual explanations of concepts like transformers, RAG, and enterprise AI. "LLMs Explained Visually" provides a simplified, diagram-heavy approach to understanding modern AI systems. AI

IMPACT These books offer visual and simplified explanations of complex AI concepts, potentially aiding broader understanding and adoption.

RANK_REASON The cluster describes the release of books, which are tools for learning.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Samir Solanki releases two visual guides on LLMs and AI Agents

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The cluster describes the release of books, which are tools for learning.
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COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    The Complete LLMs & AI Agents Collection by Samir Solanki is a new release on Leanpub! Explore Large Language Models and AI Agents through diagrams, visual expl

    The Complete LLMs & AI Agents Collection by Samir Solanki is a new release on Leanpub! Explore Large Language Models and AI Agents through diagrams, visual explanations and practical concepts covering transformers, RAG, MCP, memory and enterprise AI. Link: https:// leanpub.com/b/…

    LINKS leanpub.com/…/genaipackage
  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    LLMs Explained Visually by Samir Solanki is a new release on Leanpub! A visual journey through the world of Large Language Models. Learn how modern AI systems w

    LLMs Explained Visually by Samir Solanki is a new release on Leanpub! A visual journey through the world of Large Language Models. Learn how modern AI systems work using diagrams, mental models and simplified explanations—without getting lost in unnecessary complexity Link: https…

    LINKS leanpub.com/llmsexplainedvisually

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