BOOKS - PROGRAMMING - Observability for Large Language Models Understanding and Impro...
Observability for Large Language Models Understanding and Improving Your Use of LLMs - Phillip Carter 2023-09-28 PDF | MOBI | EPUB O’Reilly Media, Inc. BOOKS PROGRAMMING
ECO~32 kg CO²

2 TON

Views
89498

Telegram
 
Observability for Large Language Models Understanding and Improving Your Use of LLMs
Author: Phillip Carter
Year: 2023-09-28
Format: PDF | MOBI | EPUB
File size: 10.2 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Build a Large Language Model
Build a Large Language Model (From Scratch) (Final Release)
Build a Large Language Model (From Scratch) (Final Release)
Create, Produce, Consume: New Models for Understanding Music Business
More than a Chatbot Language Models Demystified
More than a Chatbot Language Models Demystified
Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications
Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications
The Developer|s Playbook for Large Language Model Security: Building Secure AI Applications
Effective XGBoost Optimizing, Tuning, Understanding, and Deploying Classification Models
Effective XGBoost Optimizing, Tuning, Understanding, and Deploying Classification Models
Effective XGBoost Optimizing, Tuning, Understanding, and Deploying Classification Models
End-to-End Observability with Grafana: A comprehensive guide to observability and performance visualization with Grafana (English Edition)
Prompt Engineering for LLMs The Art and Science of Building Large Language Model-Based Applications
Prompt Engineering for LLMs The Art and Science of Building Large Language Model-Based Applications
Multiculturalism on Campus: Theory, Models, and Practices for Understanding Diversity and Creating Inclusion
Logic and Language Models for Computer Science
Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications (Tech Today)
The Developer|s Playbook for Large Language Model Security Building Secure AI Applications (Final Release)
Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python)
Logic and Language Models for Computer Science, 3rd Edition
The Hundred-Page Language Models Book Hands-on with PyTorch
Advanced Applications of Generative AI and Natural Language Processing Models
Advanced Applications of Generative AI and Natural Language Processing Models
Talking to Machines: The Fascinating Story of ChatGPT and AI Language Models
LLMs in Production: From language models to successful products (MEAP)
Logic and Language Models for Computer Science, 4th Edition
Kitty Language An Illustrated Guide to Understanding Your Cat
Kitty Language: An Illustrated Guide to Understanding Your Cat
Understanding Context Environment, Language, and Information Architecture
Next Generation AI Language Models in Research Promising Perspectives and Valid Concerns
LLMs in Production From language models to successful products (Final Release)
Understanding Silence and Reticence: Ways of Participating in Second Language Acquisition
The Implications of Literacy: Written Language and Models of Interpretation in the Eleventh and Twelfth Centuries
The Hitchhiker|s Guide to Linear Models Based on the famous R programming language
Information Theory Meets Power Laws: Stochastic Processes and Language Models
The Hitchhiker|s Guide to Linear Models Based on the famous R programming language
Deep Learning for Natural Language Processing Develop Deep Learning Models for Natural Language in Python
PyTorch for Natural Language Processing Mastery Build powerful dialogue models with Python
PyTorch for Natural Language Processing Mastery : Build powerful dialogue models with Python