2 weeks ago
ARTICLE AD BOX
You could telephone it nan champion kept concealed for professionals and experts successful AI, arsenic you won’t find these books and articles successful accepted outlets. Yet, they are publication by acold much group than documents posted connected ArXiv aliases published successful technological journals, truthful not really a secret. Actually, 1 of these books is besides published by Elsevier (here), but this is nan objection alternatively than nan rule.
What makes them different? They are written by an master pinch sizeable applicable acquisition and successful, large-scale endeavor implementations of nan worldly discussed. While covering state-of-the-art pinch galore ground-breaking innovations and enterprise-grade Python code, connected occasions covering topics good beyond PhD level, nan attraction is connected explaining businesslike exertion and amended rodent traps, successful elemental English without jargon.
Articles
- Doing Better pinch Less: LLM 2.0 for Enterprises
- How to Design LLMs that Don’t Need Prompt Engineering
- Blueprint: Next-Gen Enterprise RAG & LLM 2.0 – Nvidia PDFs Use Case
- 10 Tips to Design Hallucination-Free RAG/LLM Systems
- The Rise of Specialized LLMs for Enterprise
- From 10 Terabytes to Zero Parameter: The LLM 2.0 Revolution
- Key LLM 2.0 Concepts Explained successful Simple English
- Universal Dataset to Test, Enhance and Benchmark AI Algorithms
- What is LLM 2.0?
Books
Other resources
See my PowerPoint position astir xLLM, accessible from here. There is different 1 astir NoGAN — nan champion tabular information synthesizer pinch champion information metric — posted here. For open-source code, spot our GitHub repository, here.
We besides connection an AI Fellowship pinch a certification that you tin adhd to your credentials conception connected your LinkedIn profile, for nether $100. Based connected nan aforesaid material. See specifications here.
More articles are posted connected nan pursuing blogs:
- Bonding AI blog
- Data Science Central
- MLT blog
For heavy method investigation papers, spot here.
To not miss early articles, books and AI resources, sign-up to our free newsletter, here.
About nan Author
Vincent Granville is simply a pioneering GenAI scientist, co-founder at BondingAI.io, nan LLM 2.0 level for hallucination-free, secure, in-house, lightning-fast Enterprise AI astatine standard pinch zero weight and nary GPU. He is besides writer (Elsevier, Wiley), publisher, and successful entrepreneur pinch multi-million-dollar exit. Vincent’s past firm acquisition includes Visa, Wells Fargo, eBay, NBC, Microsoft, and CNET. He completed a post-doc successful computational statistic astatine University of Cambridge.
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