Kontakt
Kako nakupovati
Dostava
Svetovalec pri nakupu
Angleščina
112 b
Do 30 dni za vračilo
Drugi so kupili tudi
/
Mehka
50.76
€
Everything you need to know about Retrieval Augmented Generation in one human-friendly guide.
Generative AI models struggle when you ask them about facts not covered in their training data. Retrieval Augmented Generation—or RAG—enhances an LLM''s available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it''s also easy to understand and implement!
In A Simple Guide to Retrieval Augmented Generation you''ll learn:
- The components of a RAG system
- How to create a RAG knowledge base
- The indexing and generation pipeline
- Evaluating a RAG system
- Advanced RAG strategies
- RAG tools, technologies, and frameworks
A Simple Guide to Retrieval Augmented Generation shows you how to enhance an LLM with relevant data, increasing factual accuracy and reducing hallucination. Your customer service chatbots can quote your company''s policies, your teaching tools can draw directly from your syllabus, and your work assistants can access your organization''s minutes, notes, and files.
O knjigi
Angleščina
Podarite to knjigo še danes
To je povsem preprosto
1 Dodajte knjigo v košarico in izberite dostavo kot darilo 2 V zameno vam bomo poslali kupon 3 Knjiga bo dostavljena na naslov obdarovancaMorda bi vas zanimalo tudi
/
Mehka
11.34
€
