Stable Diffusion 3 Medium is a high-performing yet compact text-to-image model that delivers photorealistic and stylized images with improved prompt comprehension, typography generation, and flexible licensing options. SD3 Medium is also resource-efficient enough to run on consumer PCs.
Unify provides dynamic routing capabilities to help developers choose the optimal LLM for their applications by evaluating cost, speed, and accuracy on a prompt-by-prompt basis. Unify supports custom router training and has developed a toolkit for on-prem enterprise deployments.
Webinar "Training an Expert Finance LLM", Customizing Large Language Models, Efficiently Finetune Llama 3 with PyTorch FSDP and Q-Lora, Improving Diffusion Models for Authentic Virtual Try-on in the Wild, StoryDiffusion, Invisible Stitch, and more.
Explore recordings of all Data Phoenix past webinars and AI highlights of the latest week.
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.
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.
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.
We are a fast-growing startup, and we are looking for a Middle+/Senior Machine Learning engineer to join our team.
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 🤖
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.