Anthropic has partnered with Google Cloud to offer its family of Claude 3 models on Vertex AI — providing organizations with more model options for intelligence, speed, cost-efficiency, and vision for enterprise use cases.

Essential AI, a developer of enterprise AI solutions, is using Google Cloud’s AI-optimized TPU v5p accelerator chips to train its own AI models.

Hugging Face is collaborating with Google across open science, open source, cloud, and hardware to enable companies to build their own AI with the latest open models from Hugging Face and Google Cloud hardware and software.

Kakao Brain, part of Korean technology company Kakao Group, has built a large-scale AI language model that is the largest Korean language-specific LLM in the market, with 66 billion parameters. They’ve also developed a text-to-image generator called Karlo.

Contextual is working with Google Cloud to offer enterprises fully customizable, trustworthy, privacy-aware AI grounded in internal knowledge bases.

AI21 Labs offers a BigQuery integration called Contextual Answers that allows users to query data conversationally and get high-quality answers quickly.

Quantiphi saw developer productivity gains of more than 30% during their Code Assist pilot.

Elyza, a Japanese AI startup, uses Meta Llama 2 to develop a Japanese large language model designed for advanced natural language processing applications, including language translation, chatbots, and text generation, thereby enhancing AI-driven communication and language services in Japan.

Taiwan LLM is a pioneering large language model focused on Traditional Chinese used in Taiwan. Built on Meta Llama 2, it incorporates cultural context and advanced pre-training on comprehensive datasets, enabling it to understand linguistic nuances and cultural references, thus revolutionizing Traditional Chinese language processing in NLP applications.

Upstage fine-tuned Meta's Llama 2 to create Solar 70B, a large language model that secured the top position on the Open LLM Leaderboard upon its debut, showcasing the potential of open innovation in AI.