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Arjun Bansal
CEO & Co-founder at Log10
Arjun Bansal is an entrepreneur and AI expert who is currently the CEO and Co-founder of Log10.io, a platform specializing in AI-powered lifecycle management operations (LLMOps) for language learning models.13 Founded in 2023, Log10.io offers tools for developers to optimize LLM applications by tuning prompts and models, managing data, evaluating accuracy, and fine-tuning throughout development and production stages.3
Bansal has an impressive background in AI and neuroscience:
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Education: He holds a bachelor's degree in computer science from Caltech and a Ph.D. in neuroscience from Brown University.2
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Previous ventures:
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Corporate experience:
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Research: Conducted postdoctoral research in neurology at Harvard Medical School and Children's Hospital, focusing on cognitive experiments and computational modeling.2
Bansal has authored numerous publications on brain-machine interfaces, machine learning, deep learning, and AI. He has been recognized as one of Fortune magazine's 40 under 40 and is a frequent speaker at technology conferences worldwide.25
Recently, Log10 raised $7.2 million in seed funding to accelerate new product introduction and increase R&D spending.3
Highlights
Great to be featured in the Cerebral Valley newsletter today where we dive deeper into Log10!
At Log10, we're laser-focused on helping developers and enterprises get the best accuracy out of their LLM applications. Our LLMOps platform seamlessly improves accuracy by leveraging data from prompts, completions, and system feedback.
Some key takeaways from the article:
🎯 Log10 fits above foundational model providers, supporting a wide range of LLMs
💡 Our AutoFeedback system uses AI to mimic human reviewers, making accuracy improvement faster and more scalable
👨💻 We prioritize a seamless developer experience with easy integrations and robust support
📈 Customers are seeing major accuracy gains and even surprising cost savings
The generative AI revolution has made LLMOps and accuracy measurement/improvement in production critical. Log10 is at the forefront of tackling these challenges.
Huge thanks to the Cerebral Valley team for the thoughtful questions and discussion! Check out the full article to learn more about our approach, use cases, and goals for the future.
https://lnkd.in/gYxBdpEn
#LLMOps #Accuracy #GenerativeAI
🔍🌐 Searching for the optimal hosting options for Llama-2? 🦙🦙🔥 We've done the legwork for you!
We've analyzed a range of providers, from traditional CSPs like Amazon Web Services (AWS) and Google Cloud, to GPU-focused providers such as Lambda and CoreWeave, offerings from Hugging Face & Oracle Cloud and Function providers like Replicate, Modal Labs, and Banana.
Understanding your expected usage is crucial. Consider factors like throughput, utilization, average LLM call time, and model size. For instance, the 70b-chat model is ideal for chatbots, while the 7b-chat model is good at categorization.
When it comes to number of GPUs, there's no one-size-fits-all. For the Llama-2-70b-chat model, we've seen the Meta repo uses 8, Hugging Face mention 4, and Replicate mention just 1. Quantization could play a role here.
We've compared on-demand pricing for a 4xA100 system to run Llama-2 inference on the 70b-chat model across 9 providers. The key question: At what utilization does it make more financial sense to switch from a Function provider to a CSP?
Our research shows that at utilization as low as 4%, it's more cost-effective to run cloud instances continuously vs using a Function provider.
Among CSPs, Lambda comes out on top in terms of cost (though securing capacity can be challenging). Modal Labs leads the pack among Function providers, but don't forget to factor in additional costs related to memory and CPU cores.
Based on our analysis, Lambda and CoreWeave are the most cost-effective for hosting Llama-2. For quick prototyping, services like Replicate and Modal Labs are excellent for spends <$4000/month.
At scale, you'll likely want to use your own cloud hosted solution not just for cost, but for ownership and data privacy reasons. How much are you spending on Llama-2 today?
Let us know below and let's discuss efficient hosting solutions!
For a deeper dive, check out our full blog post here: https://lnkd.in/gh35ZhaN
#TechTips #Llama2 #HostingOptions #TechInsights #CostEfficiency #TechAnalysis #LLM #LLMOps
