Nathan Voxland

We've Launched Deep Lake 4.0 at RetrieveX on October 17th, with 200+ AI Data Leaders from companies like Bayer, Tesla, Ally Financial, LinkedIn, Adobe, Walmart, Netflix, DoorDash, RingCentral, Zendesk and more attending. It was a blast! AI data retrieval systems today face 3 challenges: limited modalities, inaccuracy, and high costs at scale. Deep Lake 4.0 fixes this via true multi-modality, higher accuracy, and slashing query costs by 2-10x with our unique index-on-the-lake technology. But also, the conference was packed with amazing talks from: Armen Aghajanyan from @AIatMeta / FAIR presenting his learnings from training Meta Chameleon and his thoughts on the future of multi-modal LLMs and RAG. Rob Ferguson, Head of AI, Microsoft for Startups presenting who and why leads in retrieval augmentation. @aronchick , CEO @ExpansoIO and Co-Creator of Kubeflow and Bacalhau presenting on executing one's models wherever your data and users are. Steffen Vogler, @Bayer, presenting the next-gen approach to AI in Healthcare. Ian Trase, @FlagshipPioneer, presenting how the company's Flagship Pioneering arm makes big leaps in scientific research with GenAI. @jiayq, Founder @LeptonAI and co-creator of @PyTorch and CAFFE, presenting on building enterprise-ready LLMs. @sdianahu, Group Partner at @ycombinator, moderating a panel on scaling efficiently in the age of GenAI with HerculesAI CTO Gevorg Karapetyan and @omneky CEO Hikari Senju. Sazzadur Rahman, @spotterstudio, presenting optimizing content creation on YouTube for contextual search with up to billion-scale search. @viglovikov , CEO and Creator of @albumentations , presenting efficient data augmentation in vision AI during his practical workshop. Vivek Gangasani, @awscloud, presenting how to use Bedrock for GenAI and combine it with Activeloop Deep Lake to improve Retrieval Kelly Peng, Kura founder, presenting on building multi-modal AI that sees, remembers, generates. Bill Sun, Generative Alpha, presenting AI trader with reasoning capabilities powered with GenAI. @activeloop with @khustup and @MikayelHarut presenting sub-second, multi-modal AI search on object storage. Major thanks to our sponsors at @awscloud, @intel, and @Microsoft for supporting our vision and the event!

No more memory constraints for AI. Deep Lake 4.0’s architecture offloads index & data to object storage, and ensures scalability without ballooning memory costs, even with datasets over hundreds of millions/several billions of rows. How do you handle memory scaling? 💾

One last set of free tickets for RetrieveX! The conference is happening this Thursday. The creators of Meta Chameleon, PyTorch, Kubeflow, Albumentations, and CAFFE will speak in San Francisco about the future of data infrastructure for Generative AI. This is happening on Thursday, October 17. It'll be a full day packed with talks, workshops, and networking. What to expect: • Insights from top executives at Microsoft, AWS, Bayer, Y Combinator, and Flagship Pioneering. • Deep dives into building AI search on object storage and highly accurate multi-modal RAG. • Talks on delivering ROI with LLM-powered apps across Healthcare, Life Sciences, Legal, Customer Support, Finance, and Marketing. Check the agenda and the speakers: retrievex.co. I worked with RetrieveX organizers to offer free tickets to data leaders in my audience. To claim your free ticket, fill out this form: retrievex.co/application?ut…

I have 50 FREE tickets for a conference: The creators of Meta Chameleon, PyTorch, Kubeflow, and CAFFE will speak in San Francisco about the future of data infrastructure for Generative AI. This is happening on Thursday, October 17. It'll be a full day packed with talks, workshops, and networking. I worked with RetrieveX organizers to offer a free ticket to data leaders in my audience. RetrieveX will be a killer AI conference! Microsoft, AWS, Meta AI, Bayer Radiology, Matterport, Y Combinator... they will all be there. Check the agenda and the speakers: retrievex.co. To claim your free ticket, fill out this form: retrievex.co/application?ut…

@activeloop @BillSun_AI @timshi_ai @Matterport @jiayq 🎯 Super Early Bird pricing ends tomorrow! Secure your ticket for #RetrieveX at $649 before it jumps to $949. Join AI innovators at THE conference on the future of retrieval for GenAI applications on Oct 17th in SF with @Microsoft AI, Matterport & more: shorturl.at/IrYfT

Join RetrieveX - THE conference on the Future of Retrieval for Generative AI. When: Oct 17 Where: In-person, San Francisco, CA Capacity: 300 Executives. Ticket prices going up on Sep 9! Executive in GenAI? We've curated this event with our customers and partners exclusively for leaders building high-accuracy, multimodal workflows. Come hear from innovators from @Microsoft, @Bayer Radiology, @YCombinator, @FlagshipPioneering, @LeptonAI, @Expanso, @Omneky, @Cresta, and more. Build a solid data foundation for your GenAI. Act fast—tickets are limited! retrievex.co

There are 42,700 self-appointed "AI Engineers" on LinkedIn, and I wonder how many of them will pass this Generative AI test: It's 25 questions you need to answer in 40 minutes. The questions cover the following topics: • Foundational knowledge • Model training and fine-tuning • Retrieval-Augmented Generation (RAG) • Model inference and deployment • Evaluation and observability • Ethical and practical considerations The test is hard. I took it and got humbled really quickly. They say only 1 in 20 people pass it, and I believe them. Here is the link: learn.activeloop.ai/courses/genait… The test is free. Sign up, and you'll be there in a few seconds. Good luck and let me know how you did.

@activeloop @towards_AI GenAI engineers, it’s time to prove your worth! The Impossible GenAI Test is here, and it’s tougher than you think. Can you handle it? 🎯 🔗

We've teamed up with top AI minds, #IntelDisruptor, and @towards_AI, to craft the Impossible GenAI Test. Only 1 in 20 can succeed. Think it can be you? - 30 Questions, 6 Topics, 40 Minutes - Questions do not repeat, and vary in difficulty - Wrong answers are penalized

What a week for everyone in tech, huh? Ahead of today's AI at Meta Llama 3.1 release, there's a bunch of mindblowing news about Small Language Model releases, as well as LLM breaking news such as Llama 3.1 405B allegedly leaking on HF/4chan.

This Week in AI: Nvidia's Chip Competitors, A Trillion Dollar GPU Cluster, The Impossible LLM Benchmark Plus, news from Musk, OpenAI, Nvidia, Sakana AI, and more

Activeloop is on fire this week! Named a Gartner Cool Vendor for disrupting data management with GenAI

From hours to seconds: Matterport's training time slashed with Deep Lake. Kudos to both Mattterport and Activeloop of achieving this together!

RAG event of the month with @llama_index and @tryolabs on Tue 5/28 - grab one of the remaining last spots on the waitlist! How to go beyond simple RAG to satisfy production requirements? partiful.com/e/IwbFDzAX0xPC…

@FlagshipPioneer , a biotechnology company that invents platforms and builds companies that change the world achieves 18% increase in RAG accuracy for scientific research together with @Flagship_PI & Activeloop.

Celebrating a milestone in biotech innovation with our partners at Flagship Pioneering and Intel. Our joint efforts have significantly enhanced drug discovery, making a real difference in the lives of many. Here’s to continuing this impactful work!

@Meta's newest #LlaMa release is just 🚀. The team chose to prioritize model capability over efficiency by training their LLaMa-3 model on 15 trillion tokens, diverging from the established Chinchilla scaling laws. This has propelled LLaMa-3 into the top 5 of the LLM Arena.

We sat down with @mr_bumss from @VentureBeat to chat about how companies can organize their complex unstructured data and accurately retrieve knowledge with AI. Learn more by reading the article: venturebeat.com/data-infrastru…

Our Series A funding of $11M marks a key milestone for Deep Lake, with organizations like Bayer Radiology using Deep Lake. We're expanding our footprint in MedTech, life sciences, legal, and more. Interested in using Deep Lake or getting hired? Let me know!

Use LlamaIndex agents to build an AI-powered shopping assistant that can take a picture of an item you already own and pair it with (weather-appropriate) accessories! We love this blog post from @dkiedanski and Lucas Micol of @tryolabs that shows how you can take APIs and turn them into tools that a LlamaIndex agent can use to not just answer questions but solve problems iteratively. The stack also includes @Gradio for rapidly building chat-based interfaces, and @activeloop's DeepLake as the data store. Check out the post here: activeloop.ai/resources/use-…

We're excited to include @tryolabs' contribution to our free course on advanced RAG applications for production, developed in collaboration with @towards_AI, #IntelDisruptor, and @llama_index. learn.activeloop.ai/courses/rag

AI will be one of the most crucial skills for the next 20 years. If I were starting today, I'd learn these: • Python • LLMs • Retrieval Augmented Generation (RAG) Here are 40+ free lessons and practical projects on building advanced RAG applications for production: 1/4