MosaicML, the renowned open-source language models (LLMs) provider, has recently unveiled its groundbreaking MPT-30B models: Base, Instruct, and Chat. These state-of-the-art models, powered by NVIDIA’s latest-generation H100 accelerators, represent a significant leap in quality compared to the original GPT-3.
Also Read: What are Large Language Models (LLMs)?
The Unprecedented Success of MPT-7B and the Evolution to MPT-30B
Since their launch in May 2023, the MPT-7B models have taken the industry by storm, amassing an impressive 3.3 million downloads. Building upon this triumph, MosaicML has now released the highly anticipated MPT-30B models. This raises the bar even higher and unlocks a myriad of new possibilities across various applications.
Unmatched Features of MPT-30B
One of the most noteworthy achievements of MPT-30B is its ability to surpass GPT-3’s quality while utilizing a mere 30 billion parameters, a fraction of GPT-3’s 175 billion. This groundbreaking reduction in parameter count not only makes MPT-30B more accessible for local hardware deployment but also significantly reduces the cost of inference. Additionally, the expense associated with training custom models based on MPT-30B is notably lower than the estimates for training the original GPT-3, making it an irresistible choice for businesses.
Learn More: Customizing Large Language Models GPT3 for Real-life Use Cases
Furthermore, MPT-30B’s training involved longer sequences of up to 8,000 tokens, enabling it to handle data-heavy enterprise applications. This extraordinary performance is made possible by utilizing NVIDIA’s H100 GPUs, which ensure superior throughput and expedited training times.
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Exploring the Boundless Applications of MPT-30B
Numerous visionary companies have already embraced MosaicML’s MPT models, revolutionizing their AI applications:
- Replit, a trailblazing web-based integrated development environment (IDE), has successfully harnessed MosaicML’s training platform to construct a remarkable code-generation model. Replit has achieved remarkable enhancements in code quality, speed, and cost-effectiveness by leveraging its proprietary data.
- Scatter Lab, an innovative AI startup specializing in chatbot development, has leveraged MosaicML’s technology to train its own MPT model. The result is a multilingual generative AI model capable of understanding both English and Korean, significantly enhancing the chat experiences for their extensive user base.
- Navan, a globally renowned travel and expense management software company, is leveraging the solid foundation provided by MPT to develop customized LLMs for cutting-edge applications such as virtual travel agents and conversational business intelligence agents. Ilan Twig, Co-Founder and CTO at Navan, enthusiastically praises MosaicML’s foundation models for offering unparalleled language capabilities alongside remarkable efficiency in fine-tuning and serving inference at scale.
Learn More: If you are a business leader looking to harness the power of AI, the ‘AI for Business Leaders’ workshop at the DataHack Summit 2023 is a must-attend.
Accessing the Power of MPT-30B
Developers can effortlessly access the extraordinary capabilities of MPT-30B through the HuggingFace Hub, which is available as an open-source model. This allows developers to fine-tune the model using their data and seamlessly deploy it for inference on their infrastructure. Alternatively, developers can opt for MosaicML’s managed endpoint, MPT-30B-Instruct, a hassle-free solution for model inference at a fraction of the cost compared to similar endpoints. With pricing of just $0.005 per 1,000 tokens, MPT-30B-Instruct offers an exceptionally cost-effective option for developers.
Our Say
MosaicML’s groundbreaking release of the MPT-30B models marks a historic milestone in the domain of large language models. It empowers businesses to harness the unrivaled capabilities of generative AI while optimizing costs & maintaining full control over their data. In conclusion, MPT-30B represents a true game-changer, delivering unparalleled quality and cost-effectiveness. The future holds immense potential as more companies embrace and leverage this transformative technology to drive innovation across industries.
