#python#large_language_models#machine_learning_systems#natural_language_processing
Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable.
https://github.com/fla-org/flash-linear-attention
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Simplifying Processes: A Billion-Dollar Idea
A new startup aims to simplify image and video management, outperforming Dropbox. This innovation has attracted nearly $70 million in investments, capitalizing on a $2 trillion creative economy. Additionally, Bubblemaps has launched its BMT token on Solana, offering on-chain analytics and community governance, hinting at a potential airdrop. Deribit, a major crypto derivatives exchange, is exploring acquisition offers, valued between $4-5 billion, with Kraken showing interest.
#Startup#Dropbox#Investment#CreativeEconomy#Bubblemaps#BMT#Token#Solana#Crypto#ETFs#Derivatives#Kraken#Airdrop#VC#AI#Blockchain#Innovation#Finance
🚀 Crypto Analyst Manya Releases Research Tool Rankings
Crypto analyst manya has released a ranking of personal research tools. According to ChainCatcher, the rankings categorize tools into different levels based on their effectiveness. The S-tier includes Dune and frontrun.pro, while the A-tier features Coinglass, RootData, Drop, MetaSleuth, and DefiLlama. B-tier tools comprise Arkham, Bubblemaps, Dexscreener, Surf, Nansen, and CoinMarketCap. C-tier tools include Cryptorank and others.
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