The AI firm Together has triumphantly received funding aimed at bolstering its open-source AI initiatives and cloud solutions.

Together, an innovative player in open-source AI, has announced a significant funding boost of $20 million to drive its mission of integrating open-source technologies as the standard approach for AI, facilitating the development of models that excel beyond closed systems.

Together , a generative AI company, has received $20 million This funding, aimed at expanding the company’s team and enhancing its research, products, and infrastructure, is vital to Together’s goal of fostering creativity and innovation by offering cutting-edge open-source generative AI models along with a forward-thinking cloud platform.

As stated by de Guerre, utilizing open-source models can vastly improve the potential of foundational AI models. Businesses looking to shape their generative AI strategies should prioritize open-source models that are pre-trained on public datasets for comprehensive insights and customization. The RedPajama project is a notable initiative; however, it is just the beginning of the company’s commitment to making training, fine-tuning, and deploying large models easier and more accessible. The second goal focuses on broadening availability to resources.

Open-source generative AI models and associated datasets enable the community to engage in more sophisticated research and advance upon these models, culminating in new developments. Recently, Together has released RedPajama TensorFlow is continuously refining its specialized cloud services, aimed at providing efficient scaling for both training and inference processes. This enhancement will allow for quicker customization and integration of foundational models into production workflows. The company intends to broaden access to its platform to facilitate rapid adaptations and connections with foundational models.

According to de Guerre, the company is committed to advancing open-source AI by collaborating with various open-source organizations and corporate research facilities to disclose open research, datasets, and models. Additionally, partnerships with decentralized infrastructure providers will improve access to computational power for training, fine-tuning, and executing large models. large models Together for Enterprise has built a robust infrastructure providing customers with diverse computing options, thus broadening accessibility. The company has developed technologies that significantly enhance inference throughput. Clients have the option to share their

Led by Lux Capital, Together’s seed funding round also garnered support from several venture capital firms, angel investors, and notable entrepreneurs, including PayPal co-founder Scott Banister, Cloudera co-founder Jeff Hammerbacher, and LipBu Tan, founder of Cadence Systems.

A provider specializing in large-scale GPU-accelerated tasks has recently successfully raised $221 million in Series B funding. Noteworthy figures such as NVIDIA, former GitHub CEO Nat Friedman, and ex-Apple executive Daniel Gross participated in this funding round. The capital will be leveraged to continue expanding the company’s specialized cloud infrastructure tailored for demanding computational tasks. data with Together for training models.

OpenAI Evals is an open-source framework dedicated to creating and running benchmarks for AI models like GPT-4. The company employs Evals to steer the development process of its models while monitoring performance variations across different model versions.

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