TECHNICAL BLOG: We are excited to share some of our observations on the impact of precision on position interpolation and extrapolation techniques. We study this behavior on the ALiBi positional embedding first published by @OfirPress et al [1] and subsequently used in
@sambanovaai
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Hyperscalers and AI Models Transform Data Analytics in 2024
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In 2024, "the collaboration between hyperscalers and AI models will revolutionize the entire data analytics landscape, matching current data with real-time fine tuning, leading to significant speed, accuracy and price improvements" https://
technologymagazine.com/top10/top-10-t
echnology-trends-for-2024
… via @TechnologyMagBC -
SambaNova CEO discusses enterprise AI competitive advantage
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"We're partnering with forward-thinking companies who understand that competitive edge AI delivers." @SambaNovaAI CEO and Co-Founder @RodrigoLiang answers Q&A's with @CelestaCapital https://
celesta.vc/insights/nextg
en-tech-leader-sambanova-ceo-rodrigo-liang
… #CEO #ai #enterprise #GenerativeAI -
SoftBank Partners with SambaNova for Generative AI Computing Platform
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RELEASE: "SoftBank is constructing a computing platform for the development of generative AI. The addition of SambaNova Systems innovative technology to this computing platform will enable us to accelerate our innovations.” – Hironobu Tamba, Vice President, Data Platform Strategy
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Conformal Prediction: Quantifying ML Model Uncertainty in Regression
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Conformal Prediction (CP) is a way of quantifying the uncertainty of a machine learning (ML) model. There are many methods that work well for classification but the infinite output space of regression makes CP challenging. @SambaNovaAI Researcher @etash_guha will present our
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Low-resource language LLMs trained with minimal data efficiently
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Low-resource languages are difficult to train from scratch due to limited training data. In the attached poster, we show that using minimal data for pre-training and instruction tuning, we are able to achieve better accuracy than other open source #LLMs in the respective
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SambaNova Sponsors NeurIPS 2023 Instruction Tuning Workshop
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@SambaNovaAI is a proud sponsor of the ITIF "Instruction Tuning and Instruction Following" workshop at #NeurIPS2023! The workshop will cover exciting research in ITIF and evaluation of instruction tuned models. The workshop features invited talks, peer reviewed papers, and a -
ToolBench: Evaluating LLM-Based API Agent Performance
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Agent-based manipulation of APIs using #LLMs is a popular approach, but consistent and reliable evaluation metrics to assess this has been lacking. In this poster, we introduce a set of benchmarks called ToolBench and evaluate multiple open source #LLMs. @SambaNovaAI Researcher
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Conformal Prediction: Quantifying ML Model Uncertainty via Regression
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@SambaNovaAI researcher @etash_guha will be presenting "Conformal Prediction via regression-as-classification" at the Regulatable ML Workshop at #NeurIPS2023. Conformal Prediction is a way of quantifying the uncertainty of ML model. There are many methods that work well for -
Open LLMs Tool Manipulation for GPT Agents
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@SambaNovaAI will be presenting our work on the tool manipulation capabilities of open #LLMs at the Foundation Models for Decision Making Workshop at #NeurIPS2023. Come check out this work to understand how far we are from creating #GPT Agents using open models. Check out a