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xLLM: New Generation of Large Language Models for Enterprise
xLLM: New Generation of Large Language Models for Enterprise
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Read full article at 
Read full article at 
link
https://mltblog.com/4ftTko9
https://mltblog.com/4ftTko9
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In this article, you will find my PowerPoint presentation describing the most recent features of xLLM, a CPU-based, full context, secure multi-LLM with real-time fine-tuning & explainable AI. It includes several new diagrams describing the innovative architecture, upcoming developments, new features and different use cases.
In this article, you will find my PowerPoint presentation describing the most recent features of xLLM, a CPU-based, full context, secure multi-LLM with real-time fine-tuning & explainable AI. It includes several new diagrams describing the innovative architecture, upcoming developments, new features and different use cases.
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Content
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➡️Enterprise use case: corporate corpus of a Fortune 100 company.
➡️Enterprise use case: corporate corpus of a Fortune 100 company.
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➡️Original version dealing with large websites such as Wolfram and Wikipedia. Comparison with OpenAI.
➡️Original version dealing with large websites such as Wolfram and Wikipedia. Comparison with OpenAI.
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➡️xLLM for clustering and predictive analytics. Use case: unstructured text (articles) from a media company.
➡️xLLM for clustering and predictive analytics. Use case: unstructured text (articles) from a media company.
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➡️Integration of our game-changing NoGAN tabular data synthesizer, and state-of-the-art model evaluation technology.
➡️Integration of our game-changing NoGAN tabular data synthesizer, and state-of-the-art model evaluation technology.
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➡️Integration of external tools, for instance to solve math problems.
➡️Integration of external tools, for instance to solve math problems.
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➡️Upcoming version for auto-indexing and cataloging large repositories.
➡️Upcoming version for auto-indexing and cataloging large repositories.
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➡️Demo: enterprise xLLM in action, featuring the modern user interface (full web API, not just a prompt box) with command menu and numerous options not found in other LLMs, including debugging, suggested prompts, choice of agents, and fine-tuning in real time.
➡️Demo: enterprise xLLM in action, featuring the modern user interface (full web API, not just a prompt box) with command menu and numerous options not found in other LLMs, including debugging, suggested prompts, choice of agents, and fine-tuning in real time.
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➡️Relevancy score displayed to the user, for each returned item. I call it the new PageRank for RAG/LLM, using a technology radically different from Google search. See picture.
➡️Relevancy score displayed to the user, for each returned item. I call it the new PageRank for RAG/LLM, using a technology radically different from Google search. See picture.
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New startup coming soon! 
New startup coming soon! 
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We will be launching soon (January) a new startup focusing on GenAI at scale for Enterprises; xLLM will be part of the offer with exclusive features. We are looking for early adopters to partner with us on the Journey. The co-founder and CEO, to be announced soon, is Senior Director of GenAI at a Fortune 100 company, where the first version of Enterprise xLLM was implemented. More to come!
We will be launching soon (January) a new startup focusing on GenAI at scale for Enterprises; xLLM will be part of the offer with exclusive features. We are looking for early adopters to partner with us on the Journey. The co-founder and CEO, to be announced soon, is Senior Director of GenAI at a Fortune 100 company, where the first version of Enterprise xLLM was implemented. More to come!
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Read more, and access the PPT, at 
Read more, and access the PPT, at 
link
https://mltblog.com/4ftTko9
https://mltblog.com/4ftTko9
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xLLM: New Generation of Large Language Models for Enterprise

Read full article at https://mltblog.com/4ftTko9

In this article, you will find my PowerPoint presentation describing the most recent features of xLLM, a CPU-based, full context, secure multi-LLM with real-time fine-tuning & explainable AI. It includes several new diagrams describing the innovative architecture, upcoming developments, new features and different use cases.

Content

➡️Enterprise use case: corporate corpus of a Fortune 100 company.
➡️Original version dealing with large websites such as Wolfram and Wikipedia. Comparison with OpenAI.
➡️xLLM for clustering and predictive analytics. Use case: unstructured text (articles) from a media company.
➡️Integration of our game-changing NoGAN tabular data synthesizer, and state-of-the-art model evaluation technology.
➡️Integration of external tools, for instance to solve math problems.
➡️Upcoming version for auto-indexing and cataloging large repositories.
➡️Demo: enterprise xLLM in action, featuring the modern user interface (full web API, not just a prompt box) with command menu and numerous options not found in other LLMs, including debugging, suggested prompts, choice of agents, and fine-tuning in real time.
➡️Relevancy score displayed to the user, for each returned item. I call it the new PageRank for RAG/LLM, using a technology radically different from Google search. See picture.

New startup coming soon! 

We will be launching soon (January) a new startup focusing on GenAI at scale for Enterprises; xLLM will be part of the offer with exclusive features. We are looking for early adopters to partner with us on the Journey. The co-founder and CEO, to be announced soon, is Senior Director of GenAI at a Fortune 100 company, where the first version of Enterprise xLLM was implemented. More to come!

Read more, and access the PPT, at https://mltblog.com/4ftTko9

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