Microsoft is working on a new productivity tool that helps artificial intelligence better understand spreadsheets. Still in the experimental phase, SpreadsheetLLM addresses challenges that are unique to applying AI to spreadsheets, “with their extensive two-dimensional grids, various layouts, and diverse formatting options,” the company explains. Hailed as a significant development in the enterprise space, where spreadsheets are used for everything from data entry to financial modeling and are shared among departments, Microsoft points out that as a research area spreadsheet-optimized AI has generally been overlooked in favor of flashier use-cases. Continue reading Microsoft Targets Enterprise Productivity with Spreadsheet AI

Meta Platforms has unveiled its first natively multimodal model, Chameleon, which observers say can make it competitive with frontier model firms. Although Chameleon is not yet released, Meta says internal research indicates it outperforms the company’s own Llama 2 in text-only tasks and “matches or exceeds the performance of much larger models” including Google’s Gemini Pro and OpenAI’s GPT-4V in a mixed-modal generation evaluation “where either the prompt or outputs contain mixed sequences of both images and text.” In addition, Meta calls Chameleon’s image generation “non-trivial,” noting that’s “all in a single model.” Continue reading Meta Advances Multimodal Model Architecture with Chameleon

Databricks, a San Francisco-based company focused on cloud data and artificial intelligence, has released a generative AI model called DBRX that it says sets new standards for performance and efficiency in the open source category. The mixture-of-experts (MoE) architecture contains 132 billion parameters and was pre-trained on 12T tokens of text and code data. Databricks says it provides the open community and enterprises who want to build their own LLMs with capabilities previously limited to closed model APIs. Compared to other open models, Databricks claims it outperforms alternatives including Llama 2-70B and Mixtral on certain benchmarks. Continue reading Databricks DBRX Model Offers High Performance at Low Cost

Paris-based startup Mistral AI has made an immediate splash in the world of artificial intelligence, securing partnerships with IBM, Microsoft and others nine months after its launch. The company is offering natural language processing models, including its flagship Mistral Large, which becomes only the second LLM (after OpenAI) to land a commercial berth on Microsoft’s Azure cloud, where Meta Platforms’ Llama 2 is available in preview. Boasting “top-tier reasoning capacities” and sophisticated conversational capabilities, Mistral Large specializes in “reasoning, analysis and generation (RAG), is multilingual and supports up to 32,000 tokens.” Continue reading France’s Mistral AI Makes Its Global Debut on Microsoft Azure

Microsoft has expanded its Models as a Service (MaaS) catalog for Azure AI Studio, building beyond the 40 models announced at the Microsoft Ignite event last month with the addition of the Llama 2 code generation model from Meta Platforms in public preview. In addition, GPT-4 Turbo with Vision has been added to accelerate generative AI and multimodal application development. Similar to things like Software as a Service (SaaS) and Infrastructure as a Service (IaaS), MaaS lets customers use AI models on-demand over the web with easy setup and technical support. Continue reading Microsoft Brings Meta’s Llama 2 to Azure Models as a Service

Microsoft is releasing Phi-2, a text-to-text small language model (SLM) that outperforms some LLMs, yet is light enough to run on a mobile device or laptop, according to Microsoft CEO Satya Nadella. The 2.7 billion-parameter SLM beat Meta Platforms’ Llama 2 and Mistral 7B from France (each with 7 billion parameters) says Microsoft, emphasizing its complex reasoning and language comprehension are exceptional for a model with less than 13 billion parameters. For now, Microsoft is making it available “for research purposes only” under a custom license. Continue reading Microsoft Says Phi-2 Can Outperform Large Language Models

Elon Musk’s startup xAI has unveiled its first product, a large language model with chatbot capabilities named Grok, currently available via an early access waitlist with plans to go wide to Premium+ subscribers to the X social platform (formerly Twitter) following beta tests. The company says Grok has “access to search tools and real-time information” and is extremely up-to-date, but “as with all the LLMs trained on next-token prediction, our model can still generate false or contradictory information.” The chatbot is distinguished by sarcasm and wit, “so please don’t use it if you hate humor,” xAI warns. Continue reading Elon Musk’s xAI Rolling Out ‘Grok’ LLM in Early Access Beta

Social question and answer platform Quora has inserted itself on the leading edge of companies helping creators monetize AI chatbots. Quora’s AI chatbot platform Poe will pay those who create prompt bots on Poe as well as developers of server bots that integrate with the Poe API. “Since this is the beginning of a new market, there are lots of opportunities to provide a valuable service for the world and make money at the same time,” said Quora CEO Adam D’Angelo, envisioning a thriving bot economy across categories from tutoring and therapy to storytelling and roleplay. Continue reading Quora Plans to Foster Chatbot Creator Economy with Poe AI

In a move to put “generative AI at the fingertips of every business, from startups to enterprises,” Amazon Web Services is commercially rolling out the Bedrock service it announced in April. Bedrock offers a wide range of foundation models from Amazon’s own Titan to products from Anthropic, Stability AI and soon Meta Platforms. The fully managed Bedrock service makes its generative FMs operable through a single, simple API. This means customers can experiment with various leading FMs and customize simple apps in-house, without the need for a third-party diving into their proprietary data. Continue reading AWS Rolls Out Bedrock Generative AI Service, Adds Llama 2

Google is making many of its most powerful cloud computing tools available commercially for the first time, Google Cloud CEO Thomas Kurian shared at the company’s Cloud Next ’23 conference in San Francisco. In a bid to catch up with top AI rivals such as Amazon and Microsoft, the Google Distributed Cloud will open for general business including at the edge with Vertex AI and PaLM 2. Google Cloud will serve up AI from Anthropic, in which it is an investor, as well as from Meta Platforms. In addition, an AI-infused Gmail productivity suite is on the way. Continue reading Google Takes on the Competition with Cloud and AI Services

This week, Meta Platforms released Llama 2, the next generation of its open-source large language model that is free for research and commercial use. Llama 2’s pretrained and fine-tuned language models are available in sizes ranging from 7 to 70 billion parameters. Meta also named Microsoft Azure its “preferred partner for Llama 2,” offering it through the Azure AI model catalog for use with cloud-native tools that leverage content filtering and safety features. Meta says Llama 2 is “also optimized to run locally on Windows,” providing developers a seamless workflow across enterprise and consumer platforms. Continue reading Meta Unveils Llama 2 LLM with Microsoft as Preferred Partner