AI Ecosystem Report Ep 51: Meta and Mistral AI announce their biggest LLMs to date; Cohere secures funds to support enterprise customers; and Harvey’s copilot supports lawyers with legal functions.
Search Results: large language model (474)
Amazon has expanded the already wide range of LLMs supported by Bedrock with the addition of Anthropic’s Claude 3 to give customers an optimal set of choices.
New tools make it easier to create Retrieval Augmented Generation (RAG) apps which are notoriously difficult to develop because they require collecting data from diverse sources.
As AI and NLP models move toward ubiquity, guardrails are needed to prevent the spread of misinformation and negative or unsavory information.
Endor Labs’ State of Dependency Management Report evaluates Large Language Models’ current potential to evaluate malware. The upshot: They’re not ready for prime time.
Businesses must spend time evaluating token-based pricing schemas to determine which large language model (LLM) best meets their needs and their budget.
For businesses to minimize the costs of language models, they must understand token-based pricing and compare providers such as OpenAI and Anthropic.
With the release of its first large language model, Stability AI serves as an open-source alternative to OpenAI’s ChatGPT.
While on location at Celonis World Tour, Tom Smith speaks with Celonis exec Wil van der Aalst about object-centric process mining and large language models.
Startup Akkio developed a no-code AI platform to enable companies to overcome common challenges with data and large language models (LLMs).
Large language models (LLMs) are transforming the tax filing process. oni Witt explores how will this impact advisors, lawyers, and consultants.
In Enterprise AI Minute, Ep. 64, Aaron Back explains how and why massive LLMs are surfacing among big companies such as Google Cloud, Microsoft, and NVIDIA.
Designed for on-device use, Fara-7B empowers privacy-first, low-latency task automation, making AI assistance more accessible and efficient.
Google Cloud and Anthropic expand their AI alliance, deploying over one million TPUs to train Claude models. This marks a significant milestone in AI infrastructure and next-gen enterprise solutions.
Microsoft expands Azure AI Foundry with new OpenAI models — GPT-image-1-mini, GPT-realtime-mini, GPT-audio-mini, and GPT-5 — unlocking advanced multimodal capabilities in text, image, and audio for developers.
Microsoft debuts its first in-house AI models — MAI-Voice-1 and MAI-1-preview — signaling a shift away from OpenAI reliance.
OpenAI will pay Oracle over $82 million daily starting FY28, cementing the largest tech partnership ever and signaling a major realignment away from Microsoft.
Research from Andreessen Horowitz captures the top trends in GenAI usage among enterprise firms; several findings indicate increasing maturation of the technology and enterprise AI practices.
Sample app highlights how MCP can equip users with the industry-specific data they require from a diverse set of external tools and systems, working alongside a powerful AI orchestration engine.
Microsoft’s Magma AI model bridges the gap between digital and physical automation.