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.
Exploring Infrastructure Management for GenAI Beyond Kubernetes
During this talk, we will discuss the Kubernetes stack's drawbacks in the context of AI and show how dstack addresses them in the training and deployment of GenAI models.
Webinar "Exploring Infrastructure Management for GenAI Beyond Kubernetes"
Join the Data Phoenix webinar, where Dmytro Spodarets and guest Andrey Cheptsov (Founder & CEO at dstack) will discuss the drawbacks of the Kubernetes stack in the context of AI and show how dstack addresses these drawbacks in the training and deployment of GenAI models.
Evaluating LLM Models for Production Systems: Methods and Practices
During this talk, we will discuss a comprehensive understanding of the evaluation processes for LLMs, particularly in the context of preparing these models for deployment in production environments.
Webinar "Evaluating LLM Models for Production Systems: Methods and Practices"
Join the Data Phoenix webinar, where Dmytro Spodarets and guest Andrei Lopatenko will discuss a comprehensive understanding of the evaluation processes for LLMs, particularly in the context of preparing these models for deployment in production environments.
Data Phoenix Digest - ISSUE 5.2024
Latest AI News, Write for Data Phoenix, Milestones in Speaker Recognition, GNN in TensorFlow, Building an Advanced RAG System on Your Computer, Unlocking LLM’s Potential with RAG, Transformers from Scratch, RingAttention, InseRF, MagicVideo-V2, En3D and more.
Runway - Applied Research Director, Computer Vision
We’re looking for a Research Director to help us manage and grow Runway’s Applied ML Research team to create cutting-edge machine learning tools for AI-based content creation.
Anyscale - ML Tech Lead
We're hiring exceptional Software Engineers for the distributed training team at Anyscale, which is responsible for building and maintaining open source machine learning libraries widely adopted across the industry.