"A Practical Guide to Reinforcement Learning from Human Feedback (RLHF)" from @PacktPublishing at https://
amzn.to/3PMn1ZL ๐๐บ๐ฎ๐๐ผ๐ป ๐๐๐บ๐บ๐ฎ๐ฟ๐: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning algorithms
@kirkdborne
-
RLHF Guide Explores Reinforcement Learning for Alignment and Human Centered ML
By
–
-
Claude Code Guide Builds and Deploys Apps With AI Assistance
By
–
Build with Claude Code โ From zero to deployed apps with AI-assisted development: https://
link.amazon/B0eyKGk6K from @PacktPublishing -
NLP Guide Builds Agents With Python, RAG and Agentic Automation
By
–
Mastering NLP From Foundations to Agents โ Build AI Agents through Agentic Automation and RAG Workflows with Python: https://
amzn.to/4c4bq0L via @PacktPublishing @PacktDataML ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
๐ Build strong NLP foundations in math and ML
๐ตEngineer text -
C Plus Plus Guide Deploys Neural Networks With CUDA
By
–
Deep Learning with C++ โ Design and deploy neural networks using CUDA for high-performance AI in C++ Get the book at https://
amzn.to/4nzdKB4 from @PacktPublishing @PacktDataML -
Generative AI Fairness Guide Covers Benchmarks, Bias Mitigation and Engineering
By
–
New release from @PacktPublishing ๐ฅ Fairness in Generative AI โ Practical Guide to Benchmarking, Bias Mitigation, and Responsible AI Engineering: https://
link.amazon/B0c0SSDhe Key Features:
๐ Turn generative AI fairness principles into testable responsible AI requirements
๐ Build -
System Design Resource Covers Production Grade LLM Architectures
By
–
System Design for the LLM Era โ Patterns and Principles for Production-grade AI Architecture: https://
amzn.to/4gxTLQg
+
Find more best-selling AI/ML books by @PacktPublishing @PacktDataML here: https://
amzn.to/4cc1r9 -
Python Analysis Textbook Includes Machine Learning, Deep Learning and Generative Models
By
–
"Python Data Analysis: Master Python Analytics with Machine Learning, Deep Learning, GenAI, LLMs, and Data Engineering" [4th Edition] Available at https://
amzn.to/46sppdj from @PacktPublishing @PacktDataML -
Practical LLM Evaluation Covers Production Reliability Across Training and Inference
By
–
Practical LLM Evaluation for Production Systems โ Measure, monitor, and improve AI system reliability across training and inference https://
link.amazon/B0iPyNtoX from @PacktPublishing @PacktDataML -
NetOps Guide Builds LLM Powered Agents With Python, Ollama and MCP
By
–
Build AI Agents for Network Operations โ Design LLM-powered NetOps workflows with Python, Ollama, MCP, and tool calling: https://
amzn.to/4xr6AmU New release from @PacktPublishing -
Web Agent Guide Covers MCP, Multiagent Patterns and Harness Engineering
By
–
New release from @PacktPublishing Building Production AI Agents for the Web โ Design and orchestrate autonomous agents with MCP, Multi-Agent Patterns, and Harness Engineering: https://
link.amazon/B07MODeKJ ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
โ Integrate LLMs into web apps and