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Industries
Data & Analytics
Cybersecurity
AI & Machine Learning
Company Size
51-200
Company Stage
Acquired
Total Funding
$1.4B
Headquarters
San Francisco, California
Founded
2021
Mosaic ML focuses on training and deploying generative AI models for businesses that need AI solutions for tasks like code generation and data analysis. Their platform allows clients to easily integrate Large Language Models (LLMs) into their applications, making the deployment of AI models quick and efficient. Unlike many competitors, Mosaic ML offers an open-source platform that is secure and cost-effective, promising up to 15 times cost savings while allowing clients to maintain full control of their data. The platform is designed to work seamlessly with existing data pipelines and is cloud-agnostic, providing flexibility for businesses. The goal of Mosaic ML is to help companies leverage AI technologies effectively while managing the complexities of model training and deployment.
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Total Funding
$1364M
Above
Industry Average
Funded Over
2 Rounds
The Mosaic research team at Databricks developed the new TAO method.
OLMo LLM AI2The Allen Institute for AI created the Open Language Model, or OLMo, which is an open-source large language model with the aim of advancing the science of language models through open research. It marks a major milestone in the evolution of large language models.Unlike current open large language models like Llama and Mistral, which might limit access to their training data, architectures, or evaluation methodologies, OLMo stands out by providing full access to its pre-training data, training code, model weights, and evaluation suite. This openness is aimed at empowering academics and researchers to collectively study and advance the field of language modeling.OLMo represents a collaborative effort to advance the science of language models. The developers behind the LLM have a mission to empower academics and researchers by providing access to training code, models, and evaluation code necessary for open research.OLMo's architecture is built on AI2’s Dolma dataset, which features a three trillion-token open corpus. It includes full model weights for four model variants at the 7B scale, each trained to at least 2T tokens. OLMo's innovative aspects include its training approaches, size, and the diversity of data it was trained on
MosaicML has unveiled its latest research, titled "Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws."
Weights & Biases has partnered with @MosaicML to provide a FREE course covering LLM Evaluation, Dataset Curation, Distributed Training, and Practical Tips from industry experts.
Arcion's software will be integrated into MosaicML's GenAI software.
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Discover companies similar to Mosaic ML
Industries
Data & Analytics
Cybersecurity
AI & Machine Learning
Company Size
51-200
Company Stage
Acquired
Total Funding
$1.4B
Headquarters
San Francisco, California
Founded
2021
Find jobs on Simplify and start your career today
Discover companies similar to Mosaic ML