Data Phoenix Digest - ISSUE 7.2024
Explore recordings of all Data Phoenix past webinars and AI highlights of the latest week.
Data Phoenix Digest - ISSUE 6.2024
AI Index Report, Llama 3, Idefics 2, Qdrant Hybrid Cloud, Deploying LLMs Into Production Using TensorRT LLM, Neural Network Diffusion, Intro to DSPy, LLM Evaluation at Scale with the NeurIPS Large Language Model Efficiency Challenge, T-RAG, Direct-a-Video, EMO, DistriFusion and more.
The AI Rabbit Hole
Dive down the AI Rabbit Hole and journey through the wonderland of artificial intelligence at the upcoming conference on April 19th. Inspired by the timeless tale of Alice in Wonderland, this event promises to be a whimsical exploration of the latest advancements in AI technology.
Webinar "Should I Use RAG or Fine-Tuning?"
Join the Data Phoenix webinar, where Dmytro Spodarets and guests Greg Loughnane (Co-Founder & CEO of AI Makerspace) & Chris Alexiuk (Co-Founder & CTO at AI Makerspace) will discuss how to build an RAG application using fine-tuned domain-adapted embeddings.
Qdrant - ML Engineer
We are a fast-growing startup, and we are looking for a Middle+/Senior Machine Learning engineer to join our team.
Unify - LLM Engineer (Contributor)
We are seeking enthusiastic ML Engineers to join our team. This is a great opportunity for those looking to deepen their expertise in machine learning and contribute to various innovative AI projects 🤖
Shelpuk AI Technology Consulting - Machine Learning Engineer
This role involves designing, implementing, and improving retrieval-augmented generation (RAG) and agent LLM-based systems based on private (OpenAI) and open-access (Llama-2, Gemma) models.
The NVIDIA Omniverse Cloud APIs extend Omniverse's capabilities for digital twins application and workflow creation
NVIDIA's Omniverse Cloud APIs enable developers to integrate RTX rendering and OpenUSD into their software tools and simulation workflows. Industry leaders worldwide leverage the Omniverse Cloud APIs to enhance their workflows and deliver solutions for the development of digital twin simulations.
With NVIDIA's AI microservices, organizations can create and deploy generative AI copilots privately and securely
The newly launched NVIDIA microservices enable organizations to build and deploy AI applications locally while preserving control of their data. NIM supplies high-performing containers for proprietary and open model deployment while CUDA-X accelerates the production process.
NVIDIA introduces the Blackwell architecture, a technology that will power "the new industrial revolution"
NVIDIA announced its new Blackwell architecture at the GTC keynote. Blackwell is the Hopper architecture successor, featuring a 30x performance increase and a 25x cost and energy consumption decrease when training or performing real-time inference for LLMs of up to 10 trillion parameters.