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LLM Engineer’s Handbook (2024)

🚀 Unlock the Future of AI with the LLM Engineer’s Handbook 🚀

Step into the world of Large Language Models (LLMs) with this comprehensive guide that takes you from foundational concepts to deploying advanced applications using LLMOps best practices. Whether you're an AI engineer, NLP professional, or LLM enthusiast, this book offers practical insights into designing, training, and deploying LLMs in real-world scenarios.

Why Choose the LLM Engineer’s Handbook?

Comprehensive Coverage: Learn about data engineering, supervised fine-tuning, and deployment strategies.

Hands-On Approach: Implement MLOps components through practical examples, including building an LLM-powered twin that's cost-effective, scalable, and modular.

Cutting-Edge Techniques: Explore inference optimization, preference alignment, and real-time data processing to apply LLMs effectively in your projects.

Real-World Applications: Move beyond isolated Jupyter notebooks and focus on building production-grade end-to-end LLM systems.


Limited-Time Offer

Originally priced at $55, the LLM Engineer’s Handbook is now available for just $25—a 55% discount! This special offer is available for a limited quantity, so act fast to secure your copy.

Who Should Read This Book?

This handbook is ideal for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. A basic knowledge of LLMs, Python, and AWS is recommended. Whether you're new to AI or seeking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios.

Don't miss this opportunity to advance your expertise in LLM engineering. Secure your discounted copy today and take the next step in your AI journey!

Buy book: https://www.patreon.com/DataScienceBooks/shop/llm-engineers-handbook-2024-1582908



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LLM Engineer’s Handbook (2024)

🚀 Unlock the Future of AI with the LLM Engineer’s Handbook 🚀

Step into the world of Large Language Models (LLMs) with this comprehensive guide that takes you from foundational concepts to deploying advanced applications using LLMOps best practices. Whether you're an AI engineer, NLP professional, or LLM enthusiast, this book offers practical insights into designing, training, and deploying LLMs in real-world scenarios.

Why Choose the LLM Engineer’s Handbook?

Comprehensive Coverage: Learn about data engineering, supervised fine-tuning, and deployment strategies.

Hands-On Approach: Implement MLOps components through practical examples, including building an LLM-powered twin that's cost-effective, scalable, and modular.

Cutting-Edge Techniques: Explore inference optimization, preference alignment, and real-time data processing to apply LLMs effectively in your projects.

Real-World Applications: Move beyond isolated Jupyter notebooks and focus on building production-grade end-to-end LLM systems.


Limited-Time Offer

Originally priced at $55, the LLM Engineer’s Handbook is now available for just $25—a 55% discount! This special offer is available for a limited quantity, so act fast to secure your copy.

Who Should Read This Book?

This handbook is ideal for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. A basic knowledge of LLMs, Python, and AWS is recommended. Whether you're new to AI or seeking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios.

Don't miss this opportunity to advance your expertise in LLM engineering. Secure your discounted copy today and take the next step in your AI journey!

Buy book: https://www.patreon.com/DataScienceBooks/shop/llm-engineers-handbook-2024-1582908

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A project of our size needs at least a few hundred million dollars per year to keep going,” Mr. Durov wrote in his public channel on Telegram late last year. “While doing that, we will remain independent and stay true to our values, redefining how a tech company should operate.

Telegram hopes to raise $1bn with a convertible bond private placement

The super secure UAE-based Telegram messenger service, developed by Russian-born software icon Pavel Durov, is looking to raise $1bn through a bond placement to a limited number of investors from Russia, Europe, Asia and the Middle East, the Kommersant daily reported citing unnamed sources on February 18, 2021.The issue reportedly comprises exchange bonds that could be converted into equity in the messaging service that is currently 100% owned by Durov and his brother Nikolai.Kommersant reports that the price of the conversion would be at a 10% discount to a potential IPO should it happen within five years.The minimum bond placement is said to be set at $50mn, but could be lowered to $10mn. Five-year bonds could carry an annual coupon of 7-8%.

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