Xllm: New Generation Of Large Language Models For Enterprise

In this article, you will find my PowerPoint position describing nan astir caller features of xLLM, a CPU-based, afloat context, unafraid multi-LLM pinch real-time fine-tuning & explainable AI. It includes respective caller diagrams describing nan innovative architecture, upcoming developments, caller features and different usage cases.

Content

• Enterprise usage case: firm corpus of a Fortune 100 company.
• Original type dealing pinch ample websites specified arsenic Wolfram and Wikipedia. Comparison pinch OpenAI.
• xLLM for clustering and predictive analytics. Use case: unstructured matter (articles) from a media company.
• Integration of our game-changing NoGAN tabular information synthesizer, and state-of-the-art exemplary information technology.
• Integration of outer tools, for lawsuit to lick mathematics problems.
• Upcoming type for auto-indexing and cataloging ample repositories.
• Demo: endeavor xLLM successful action, featuring nan modern personification interface (full web API, not conscionable a punctual box) pinch bid paper and galore options not recovered successful different LLMs, including debugging, suggested prompts, prime of agents, and fine-tuning successful existent time.
• Relevancy people displayed to nan user, for each returned item. I telephone it nan caller PageRank for RAG/LLM, utilizing a exertion radically different from Google search. See picture.

The afloat code, datasets (input sources) and backend tables are connected GitHub. Links are included successful nan PPT document. I besides started a caller bid of articles discussing nan main components astatine a precocious level. See “LLM Chunking, Indexing, Scoring and Agents, successful a Nutshell”, here. Detailed archiving is disposable connected my AI investigation blog, here. The astir broad worldly is successful my caller book “Building Disruptive AI & LLM Technology from Scratch”, listed arsenic #7 connected nan aforesaid web page. There is moreover a people connected xLLM, disposable here and based connected my textbook “State of nan Art successful GenAI & LLMs — Creative Projects, pinch Solutions”.

New startup coming soon!

We will beryllium launching soon (January) a caller startup focusing connected GenAI astatine standard for Enterprises; xLLM will beryllium portion of nan connection pinch exclusive features. We are looking for early adopters to partner pinch america connected nan Journey.

The co-founder and CEO, to beryllium announced soon, is Senior Director of GenAI astatine a Fortune 100 company, wherever nan first type of Enterprise xLLM was implemented. More to come!

View and download nan presentation

View nan PowerPoint document, here. Presented for a ample institution connected November 1st, 2024. I will stock nan video erstwhile available. To not miss early articles connected this taxable and astir GenAI successful general, subscribe to my free newsletter, here. Subscribers get a 20% discount connected each my books.

About nan Author

Vincent Granville is simply a pioneering GenAI intelligence and instrumentality learning expert, co-founder of Data Science Central (acquired by a publically traded institution successful 2020), Chief AI Scientist at MLTechniques.com and GenAItechLab.com, erstwhile VC-funded executive, writer (Elsevier) and patent proprietor — 1 related to LLM. Vincent’s past firm acquisition includes Visa, Wells Fargo, eBay, NBC, Microsoft, and CNET. Follow Vincent connected LinkedIn.