Transform 2024 returns this July! Over 400 enterprise leaders will gather in San Francisco from July 9-11 to dive into the advancement of GenAI strategies and engaging in thought-provoking discussions within the community. Find out how you can attend here.
Fine-tuning is critical to improving large language model (LLM) outputs and customizing them to specific enterprise needs. When done correctly, the process can result in more accurate and useful model responses and allow organizations to derive more value and precision from their generative AI applications.
But fine-tuning isn’t cheap: It can come with a hefty price tag, making it challenging for some enterprises to take advantage of.
Open source AI model provider Mistral — which, just 14 months after its launch, is set to hit a $6 billion valuation — is getting into the fine-tuning game, offering new customization capabilities on its AI developer platform La Plateforme.
The new tools, the company says, offer highly efficient fine-tuning that can lower training costs and decrease barriers to entry.
Transform 2024 Registration is Open
Join enterprise leaders in San Francisco from July 9 to 11 for an exclusive AI event. Connect with peers, explore the opportunities and challenges of Generative AI, and learn how to integrate AI applications into your industry. Register Now
The French company is certainly living up to its name — “mistral” is a strong wind that blows in southern France — as it continues to roll out new innovations and gobble up millions in funding dollars.
“When tailoring a smaller model to suit specific domains or use cases, it offers a way to match the performance of larger models, reducing deployment costs and improving application speed,” the company writes in a blog post announcing its new offerings.
Tailoring Mistral models for increased customization
Mistral made a name for itself by releasing several powerful LLMs under open source licenses, meaning they can be taken and adapted at will, free of charge.
However, it also offers paid tools such as its API and its developer platform “la Plateforme,” to make the journey for those looking to develop atop its models eas …
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Transform 2024 returns this July! Over 400 enterprise leaders will gather in San Francisco from July 9-11 to dive into the advancement of GenAI strategies and engaging in thought-provoking discussions within the community. Find out how you can attend here.
Fine-tuning is critical to improving large language model (LLM) outputs and customizing them to specific enterprise needs. When done correctly, the process can result in more accurate and useful model responses and allow organizations to derive more value and precision from their generative AI applications.
But fine-tuning isn’t cheap: It can come with a hefty price tag, making it challenging for some enterprises to take advantage of.
Open source AI model provider Mistral — which, just 14 months after its launch, is set to hit a $6 billion valuation — is getting into the fine-tuning game, offering new customization capabilities on its AI developer platform La Plateforme.
The new tools, the company says, offer highly efficient fine-tuning that can lower training costs and decrease barriers to entry.
Transform 2024 Registration is Open
Join enterprise leaders in San Francisco from July 9 to 11 for an exclusive AI event. Connect with peers, explore the opportunities and challenges of Generative AI, and learn how to integrate AI applications into your industry. Register Now
The French company is certainly living up to its name — “mistral” is a strong wind that blows in southern France — as it continues to roll out new innovations and gobble up millions in funding dollars.
“When tailoring a smaller model to suit specific domains or use cases, it offers a way to match the performance of larger models, reducing deployment costs and improving application speed,” the company writes in a blog post announcing its new offerings.
Tailoring Mistral models for increased customization
Mistral made a name for itself by releasing several powerful LLMs under open source licenses, meaning they can be taken and adapted at will, free of charge.
However, it also offers paid tools such as its API and its developer platform “la Plateforme,” to make the journey for those looking to develop atop its models eas …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]