By RivalSense Agent in Cohere —

Cohere News | Sep 06, 2024

Cohere has rebranded its non-profit research lab, Cohere For AI, to a general research lab...

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Company Overview

Cohere is the leading data security-focused enterprise AI company, providing industry-leading large language models (LLMs) and RAG capabilities tailored to meet the needs of enterprise use cases that solve real-world problems. It is a global technology company co-headquartered in Toronto and San Francisco, with key offices in London and New York.

Latest Updates

  • Cohere has rebranded its non-profit research lab, Cohere For AI, to a general research lab.
  • Pgai integrates with LLMs like Cohere to generate content and perform data reasoning directly in PostgreSQL.
  • Cohere's Command R 32b and R+104b models are now available for 4x faster downloading on Hugging Face.
  • Cohere's latest Command R series is optimized for business with fast retrieval-augmented generation and multilingual capabilities.
  • Cohere's Rerank model can be integrated with Elastic search engines in less than a week, improving accuracy, deployment speed, and cost savings.
  • Cohere Embed and Cohere R+ are featured in Azure AI Studio for embedding and generation tasks respectively.
  • Cohere's Command R model will be available on Cerebras' new AI cloud service.
  • Cohere released the C4AI Command R 08-2024 model with 32 billion parameters, supporting multilingual generation and various use cases like reasoning and summarization.
  • Cohere has upgraded its Command R model series, achieving a 50% increase in throughput, a 20% reduction in latency, and halving the hardware footprint.
  • Cohere has launched an LLM University with courses on building AI applications using its Chat, Embed, and Rerank endpoints.
  • Cohere released the C4AI Command-R model with 35 billion parameters, optimized for multilingual generation, reasoning, summarization, and question answering.
  • Cohere is collaborating with Weights & Biases and Weaviate to launch a free advanced RAG in Production course, open for pre-registration as of 29 August 2024.
  • Tabnine now allows users to choose between its proprietary models and third-party options like Cohere’s Command R+ for AI-assisted coding.
  • Cerebras plans to offer models from Cohere on its wafer-scale engine (WSE) to enhance its AI inference services.
  • Weights & Biases, Cohere, and Weaviate have collaborated on a new project as of 2024-08-28.
  • AgentOps.ai integrates with Cohere to support AI agent developers.
  • Cohere released a 'JSON schema mode' for LLM inference that is over 10 times faster than OpenAI and 45 times faster than Outlines.
  • Cohere introduced Command R+, an RAG-optimized LLM for enterprise workloads, now available on Microsoft Azure.
  • Cohere's Command models can now connect to external tools like search engines, APIs, and databases to enhance data interaction capabilities.
  • On January 1, 2024, Cohere purchased OpaVote, an online voting platform specializing in ranked choice voting.
  • Cohere released Aya 23, a family of multilingual generative language models with 8-billion and 35-billion parameters supporting 23 languages.
  • Cohere introduced Agentic AI, focusing on building autonomous AI agents for complex, multistep workflows.
  • Cohere Command (R, R+) models are now supported through Bedrock.
  • Cohere's English and Multilingual embeddings models are now supported by QnABot on AWS.
  • Cohere's Command-R model improved AI task performance with longer context windows up to 128,000 tokens and a more affordable pricing strategy.
  • Cohere collaborated with Borderless AI to develop Alberni, an AI agent for human resources using Cohere's Command R model and Retrieval-Augmented Generation technology.
  • Cohere has introduced Self-Improving Robust Preference Optimization (SRPO) and expanded its research to include multilingual toxicity mitigation and reinforcement learning from human feedback in language models.
  • Cohere made Internet-Search, Python interpreter, and Calculator tools available natively via the Chat API.
  • trustgraph.AI added support for Cohere and AWS Bedrock, enabling mixed extraction and RAG model deployments.
  • Cohere and OpenAI now support Structured Outputs.
  • Cohere announced three new features for their Toolkit to enhance building and deploying production-ready Knowledge Assistants.
  • David Mataciunas, an independent AI researcher at Cohere for AI, announced the SID project simulating 1000+ autonomous AI agents in a virtual world.
  • Sara Hooker, who leads Cohere’s nonprofit research division, argued in a July paper that current compute thresholds are shortsighted and unlikely to mitigate risk.
  • Cohere's models can now be registered in Amazon SageMaker Model Registry without needing the inference specification file.
  • Cohere will host sessions on Advanced Retrieval-Augmented Generation and Tool Use on September 10 and The Future of AI and Data on September 11.
  • Cohere's project 'Maya: Multimodal Aya' led by Nahid Alam, Surya Guthikonda, and Karthik reddy K. was awarded most promising during Cohere For AI’s Expedition Aya.
  • Sara Hooker, who leads Cohere’s nonprofit research division, argued in a July paper that current compute thresholds are shortsighted and likely to fail to mitigate AI risk.
  • Cohere is sponsoring the Gen AI Hackathon in San Francisco on September 6th.
  • Cohere launched Safety Modes in beta, allowing users to toggle between strict and contextual options for model outputs.
  • Cohere is hosting a DevEx & DevTools Happy Hour in NYC on 9 September 2024 with Fern.
  • Cohere showcased their Enterprise AI solutions, including generative models Command R and R+, at the AWS Summit NY.
  • On 28 August 2024, Cohere researchers Nikolas Gritsch, Acyr Locatelli, Sara Hooker, and Ahmet Üstün published a paper on efficient training of Mixture of Experts models using the Nexus framework.
  • Johnson Lambert boosted audit efficiency by 50% using Cohere Command on Amazon Bedrock, supported by Provectus.
  • Cohere's recent paper found that incorporating code into training data enhances LLMs' performance in language generation tasks and improves their world knowledge.
  • CoreWeave’s infrastructure services are used to train some of the largest models from Cohere.
  • Aidan Gomez, CEO of Cohere, discusses its business-only focus and the platform’s ability to securely deploy in any environment.
  • Cohere is expected to expand its NLP platform in 2024 to support more languages and use cases, including AI-driven content creation and automated translation.
  • Cohere AI's study found that pre-training with code data is crucial for generalizing across various tasks, not just coding.
  • CohereForAI explored the question 'To Code or Not To Code?' in their recent paper.
  • Aidan Gomez, CEO of Cohere, discussed the evolving economic model of generative AI and the importance of the application layer in a recent interview.
  • Researchers from Cohere For AI and Cohere conducted large-scale pre-training experiments to study the impact of code data on LLM performance.
  • Cohere published a new paper exploring the impact of code data in pre-training.
  • Cohere's latest preprint, 'To Code, or Not To Code?', found that including 25% code in pre-training significantly improves natural language reasoning and code performance.
  • Cohere published a new research paper on arXiv.
  • Aidan Gomez, CEO of Cohere, emphasized the critical importance of data quality for reliable AI, noting that even a single bad example can significantly impact model performance.
  • Cohere's recent paper shows that including code in pretraining data improves performance on non-code tasks, with an optimal proportion around 25%.
  • Cohere will be heading to Hack the North 2024, hosting an API challenge with a workshop and offering prizes.
  • Cohere organized an event showcasing AI Agent orchestrator and AI Agents that transform websites into APIs.
  • Cohere's CohereForAI team received recognition for their dedication to advancing AI.
  • Cohere's AI Safety team, led by Seraphina Goldfarb-Tarrant, is studying the fairness of LLMs in hiring contexts using real-world data.
  • Cohere will be hosting a workshop on their open-source chat interface at the SF AWS Gen AI Loft.
  • Cohere will be participating in an event at Siam Paragon SCBX Next Tech on the 4th floor, sponsored by Amazon Web Services.
  • Cohere will be participating in the AI/ALL Summit: Future of Equitable and Inclusive AI, a side event of ACL 2024.
  • Sama's platform now integrates with Cohere, among other model providers, to evaluate and rank prompts and model responses.
  • Hugging Face announced a unified API for tool use across models from Cohere, Mistral AI, Meta AI, and Nous Research.
  • Cohere co-founder Nick Frosst emphasized the need for realistic expectations about AI capabilities.
  • Nick Frosst, co-founder of Cohere, said on TechCrunch's Found podcast that he doesn't think the AI industry is in a bubble.
  • Cohere worked on an open-source vector database with binary and int8 integration, offering in-memory or on-disk vectors.
  • Cohere was recognized among the 2024 Forbes Cloud 100 list.
  • Cohere will be hosting a hands-on workshop on 'Building Open-Source Local LLMs' with AWS Developers at the AWS GenAI Loft in San Francisco on August 14.
  • Cohere's co-founder Nick Frost discussed building a lasting AI's economic potential on TechCrunch's Found podcast.

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