Large language model (LLM) provider Cohere has unveiled its new agentic AI offering — North — a low-code platform that will allow enterprises to build and deploy agents across different business functions. The offering will compete with Microsoft’s autonomous agents, Google’s Vertex AI agents, and Salesforce’s Agentforce. Currently only being offered as part of an…
Data management professionals face growing challenges in handling the vast amounts of live data generated by live systems, such as transportation networks, power grids, and security infrastructures. IoT devices have proliferated widely and produce real-time data on an unprecedented scale, placing significant demands on traditional data processing methods. Legacy approaches – often reliant on batch…
Microsoft has announced Phi-4 — a new AI model with 14 billion parameters — designed for complex reasoning tasks, including mathematics. Phi-4 excels in areas such as STEM question-answering and advanced problem-solving, surpassing similar models in performance. Phi-4, part of the Phi small language models (SLMs), is currently available on Azure AI Foundry under the Microsoft Research…
Mark Zuckerberg has consistently championed Meta’s Llama AI model as a leader in generative AI technology, positioning it as a strong competitor to OpenAI and Google. However, behind the scenes, Meta is complementing Llama with a rival AI model to meet its internal needs. Meta’s internal AI-powered coding assistant, Metamate, uses both Meta’s Llama model…
Generative AI depends on data to build responses to user queries. Training large language models (LLMs) uses huge volumes of data—for example, OpenAI’s GPT-3 used the CommonCrawl data set, which stood at 570 gigabytes and 400 billion tokens. But these data sets, while massive, are snapshots in time that cannot respond to queries around events…
Microsoft has released a new, updated set of its Phi small language models on Hugging Face, which it claims outperforms similar offerings from rival model providers, including Meta and Google. In an update to the Phi 3 platform released in April, the cloud services provider unveiled three Phi 3.5 models under the open MIT License…
Facebook parent Meta’s AI research team is working on developing what it calls a Self-Taught Evaluator for large language models (LLMs) that could help enterprises reduce their time and human resource requirements while developing custom LLMs. Earlier this month, the social media giant’s AI research team, dubbed Meta FAIR, published a paper on the…
Large language models (LLMs) are advanced AI systems designed to process and generate human-like text by training on extensive datasets. They excel in tasks ranging from translation and summarization to answering questions and writing content, effectively simplifying what used to be labor-intensive, complex interactions between humans and machines. LLMs represent a transformative leap in artificial…
Forrester’s top 10 cloud trends for 2024 report is out. No one will be surprised that AI figures prominently. Yet there are other fundamental shifts in play — the rise of the intelligent edge, increased cloud compliance complexity, and (finally!) mature multicloud networking offerings. Tracking these trends was a collective effort with all of my…
Google Cloud has introduced a new service inside its AI platform Vertex AI to help enterprise users ascertain whether a large language model (LLM) is suitable for a particular use case. The service, which has been christened the generative AI evaluation service, is also effective in curtailing hallucinations, the company wrote in a blog post….
