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GigaML Raises $3.6M To Help Enterprises Build LLMs As Powerful As GPT4 | Entrepreneur Oct 23, 2023 Company Launches Giga ML's X1 Large 32k - The most powerful on-prem deployable model See original launch post We are announcing our first lineup of on-premise LLMs, X1 Large 8k, 32k — pre-trained and fine-tuned versions of llama2 70B, which are outperforming Claude 2 on the MT bench with a score of 8.1 vs 8. (White paper coming soon with performance on all the benchmarks.) X1 Large is available for further fine-tuning and pre-training. Try it out here and let us know what you think! Email us at [email protected] if you want fine-tuning and pre-training access in-cloud or on-premise.
The problems today
Pre-training: Existing large language models (LLMs) lack the ability to pre-train on specific text data, hindering their effectiveness in specialized domains like healthcare, legal, and finance. Fine-tuning: The inability to fine-tune LLMs for specific output structures or forms restricts their adaptability in critical areas requiring tailored responses. Privacy: Organizations dealing with sensitive customer data face trust & compliance challenges when using third-party servers like OpenAI and Anthropic.
X1 Large
Performance: Achieves an MT bench score of 8.1, surpassing Claude 2 after fine-tuning and pre-training. Customization: Our unique pre-training and fine-tuning capabilities provide unrivaled performance for industry-specific use cases. Security: Offers secure on-premise deployment, ensuring data privacy for enterprises.
State of the art RAG
We’re partnering with @Mano AI to bring state of art RAG for on-prem deployment on your petabytes of data.
Our ask
Try out out the demo here with your prompt and let us know how it performed! Email us at [email protected] if you want fine-tuning and pre-training access in-cloud or on-premise.
Company
Giga Founded: 2024 Batch: Summer 2023 Team Size: 20 Status: Active Location: San Francisco Primary Partner: Harj Taggar
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