Introducing Deep Lake AI Knowledge Agent. Conduct Deep Research on your data, no matter its modality, location, or size. 

Come celebrate with us @ProductHunt!

https://www.producthunt.com/posts/deep-lake-ai-knowledge-agent

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

Tickets on sale via the website - Take extra 25% OFF by getting your ticket today!

https://www.eventbrite.com/e/retrievex-the-genai-data-retrieval-conference-tickets-983939869637?aff=oddtdtcreator

Join RetrieveX Conference: Future of Generative AI

Real Estate, Meet Multi-Modal AI

@matterport, a leader in 3D digital twins, digitized more than 35 billion sq. feet, making them one of the largest players in the domain.

Matterport leveraged multi-modal AI to transform the visualization & analysis of real estate at scale

Matterport's Vision & Learning team partnered with us to streamline storing complex data & retrieving it to train ML models at scale.

They achieved:

- 80% less time spent on data prep
- Went from hours to seconds in time to train on new data

https://bit.ly/mttra

Alan Dolhasz, Manager of Machine Learning Development at Matterport, summarized it best:


A huge thanks to Alan and entire Matterport team for being an invaluable design partner, enabling us to achieve excellence as they develop AI products at the forefront of innovation. 

Read the complete case study below!

https://bit.ly/mttra

Revolutionizing Real Estate with Multi-Modal AI

Moving GenAI systems from demo to production is tough. Join our event with partners @Llama_Index and @Tryolabs to learn about strategies in data handling and solving challenges.

Event kindly hosted at LlamaIndex HQ - with drinks and food on us! RSVP today: 

https://partiful.com/e/IwbFDzAX0xPCPsC897SX

We'll share our learnings about the latest strategies across data storage, retrieval, fine-tuning, LLMOps, and combining those to build more mature GenAI.

GenAI Transition: Strategies and Solutions

@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 summarize major news from AI research, industry, and investment (cutting through hype and sharing only what matters). Read through full newsletter and subscribe today!

https://genai360.beehiiv.com/subscribe

@Microsoft unveiled three new AI model families:

- Compact Phi to compete with Gemini and GPT-3.5
- VASA-1 for realistic talking videos
- WizardLM-2, temporarily halted for toxicity testing

Initial tests suggest Phi's smallest version rivals Llama-3 8B despite a smaller dataset

@BostonDynamics unveiled a new version of the Atlas robot with enhanced mobility and human-like capabilities (did the Robotics investment FOMO already start?)

@GoogleAI introduced mobile device processing advancements and a new transformer architecture called TransformerFAM. TransformerFAM outperforms existing models on long-context tasks, highlighting its ability to manage longer sequences and maintain context over extended periods.

Major investment wins from UAE-based AI firm G42 ($1.5 billion investment from Microsoft), and @Perplexity's latest round makes it a unicorn.

Read 20 more news items that mattered this week in our round up of news across industry, academia, and investments. Subscribe to stay informed with weekly insights into the rapidly evolving field of AI!

https://genai360.beehiiv.com/p/of-llamas-and-phis

Innovations in AI and New Model Releases

Introducing: infinite scannable QR codes with @LangChainAI, @StabilityAI StableDiffusion, ControlNet, and Deep Lake. 

We've tried multiple approaches and rounded up the best ones.  See how it's built:

There has been a bunch of QR GenAI projects. They all these problems:

- Low configurability: everything is manual.
- Lack of testing: non-scannable QR codes aren't automatically discarded.
- Lack of relevance due to lack of context: brands can't reuse the QR styles.

We fixed it

1. Deep Lake Vector Store to ground in context of the website 
2. Use LangChain to connect data to Stable Diffusion
3. Use Stable Diffusion for generation and ControlNet to ground the images in styles & create scannable codes.
4. ComfyUI & Automatic1111 for GUIs for the process.

Here's an open-source notebook you can try: 

https://www.activeloop.ai/resources/build-an-ai-qr-code-generator-with-control-net-stable-diffusion-and-lang-chain/

Revolutionizing QR Code Technology

Our CEO @dbuniatyan sat down with @HGlorikian to chat about how we're delivering the Database for AI to enterprises looking to unlock value from their multi-modal data with AI.

Topics:
- Is it cheaper to copy data from the West to East Coast via cloud, or drive it on a truck?

- What's it like to work at Princeton Neuroscience Lab?
- How is Activeloop helping Fortune 500 enterprises in healthcare to build AI products faster?

Listen to full podcast here: https://glorikian.com/deep-learning-models/

Driving Innovation: Database for AI & Multi-Modal Data

🎉 Exciting News: We are now SOC 2 Type 2 Compliant 🎉


This marks a key milestone, reflecting the hard work and dedication of our entire team. It was a months-long effort that has refined our internal processes for a more secure and dependable experience for our clients and users!

It represents our unwavering commitment to safeguarding client data, particularly in highly regulated industries like legal tech, healthcare or pharma, where we work closely with some of the world's most innovative companies that have to adhere to stringent data security!

What does this mean for you? You can have complete confidence in our ability to manage your data with the highest standards of security and privacy.

💼 With Activeloop, you're getting both the transparency of open-source and the security and dependability of a SOC 2 Type II-compliant database for AI.

To our team, clients, and partners: Thank you for being an integral part of this journey. Your trust and support inspire us to reach new heights - more announcements are coming!

Read more: https://www.activeloop.ai/resources/activeloop-is-now-soc-2-type-ii-certified/

Activeloop is now SOC 2 Type 2 Compliant

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.

https://learn.activeloop.ai/courses/rag

One of the 40+ lessons and projects was created by our engineers Diego & Lucas, who built an AI Shopping Assistant with GPT-4V, @llama_index, and Deep Lake by @activeloopai.

https://www.activeloop.ai/resources/use-llama-index-to-build-an-ai-shopping-assistant-with-rag-and-agents/

The team built an intricate system that factors in online & database data on clothes, shoes, and their prices. The AI agent also factors in occasions and even weather at the user's location.  Deep Lake helped with fast search, accurate retrieval and visualization of the items.

Complete all modules and quizzes and get a free certificate at the end, just like Diego from team @tryolabs!

Enroll for free here: https://learn.activeloop.ai/courses/rag

Exciting Free Course on Advanced RAG Applications

Launching a Free Course on Training & Fine-Tuning Large Language Models (LLMs) for Production in collaboration with @towards_AI and @intel Disruptor! This course was also created with invaluable support from our friends @cohere, @LambdaAPI, & @wandb.

🤖 60+ lessons full of state-of-the-art training and fine-tuning #LLMs. 📚

🌟 Understand how to combine LLM-optimized hardware and software like Deep Lake with the latest LLM training & fine-tuning techniques like LoRA, QLoRA, RLHF, or RLAIF!

https://learn.activeloop.ai/courses/llms

🛠 Across 10+ projects, build custom LLMs in industry-specific use cases like finance and pharmaceuticals & learn how to deploy them to production. Complete these along with quizzes to get a free certificate!

We've designed the course to be an end-to-end pathway, bridging theoretical knowledge with practical expertise to navigate the intricacies of LLMs for real-world applications. What's in store? 👀

In-depth Curriculum: Covers foundational LLM concepts, novel techniques, and real-world training, deployment, or cost optimization of LLMs.

LLMs on a budget: Learn how to get LLMs to production without overspending.

🔥 Highlights?

📚 Rich Content: 40+ hours of learning across 50+ self-paced text tutorials, and 10+ hands-on projects.

💼 For Tech Executives: Grasp strategic aspects of LLMs while ensuring resource-effective utilization in 9 high-level videos and 1.5 hrs of learning time created by @Whats_AI!

🚀 Free Compute Credits – Qualifying Course takers to get free compute credits from our great partners @Lambda and @Cohere! 🚀

Enrol today at learn.activeloop.ai/courses/llms

#GenAI360 #IntelDisruptor