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Flux by Black Forest Labs: The Next Leap in Text-to-Image Models. Is it better than Midjourney?

Unite.AI

1 With a successful Series Seed funding round of $31 million led by Andreessen Horowitz and support from notable angel investors, Black Forest Labs has positioned itself at the forefront of generative AI research. This roadmap suggests that Flux is not just a standalone product but part of a broader ecosystem of generative AI tools.

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CMU Researchers Introduce ReLM: An AI System For Validating And Querying LLMs Using Standard Regular Expressions

Marktechpost

A regular expression inference engine that effectively converts regular expressions to finite automata has been designed and implemented. Researchers have achieved competitive GPU utilization and runtimes (seconds) using both shortest path and randomized graph traversals.

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This AI Paper from Google Presents a Set of Optimizations that Collectively Attain Groundbreaking Latency Figures for Executing Large Diffusion Models on Various Devices

Marktechpost

Moreover, the team found that the fusion windows for commonly used layers and units in LDMs need to be substantially larger on a mobile GPU than what is currently available from commercially available GPU-accelerated ML inference engines.

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Setting Up a Training, Fine-Tuning, and Inferencing of LLMs with NVIDIA GPUs and CUDA

Unite.AI

According to NVIDIA's benchmarks , TensorRT can provide up to 8x faster inference performance and 5x lower total cost of ownership compared to CPU-based inference for large language models like GPT-3. This engine can then be used to perform efficient inference on the GPU, leveraging CUDA for accelerated computation.

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Meta AI Releases Meta Lingua: A Minimal and Fast LLM Training and Inference Library for Research

Marktechpost

Meta Lingua’s importance lies in its ability to simplify the experimentation process for NLP researchers. In an era where large language models are at the forefront of AI research, having access to a robust yet simple-to-use tool can make all the difference. If you like our work, you will love our newsletter.

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