#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
Most systems try to predict outcomes.
EdgeMarket focuses on something more fundamental: structure.
Our AI ingests real-world events — political decisions, cultural moments, sports fixtures, institutional deadlines — and turns them into time-aware signals. Not opinions. Not hype. Just structured context that shows where pressure is building and when it matters.
That’s how uncertainty becomes understandable.
Explore how EdgeMarket uses AI as infrastructure, not guesswork
👉https://edgemarket.ai
#AI#DecisionIntelligence#EdgeMarket#SignalsOverNoise
Will BTS’ March album pre-orders exceed 6,000,000 by Feb 28?
At this scale, outcomes don’t appear suddenly —
they form through visible signals long before confirmation.
EdgeMarket tracks how expectations converge.
Hashtags:
#BTS#MarketSignals#DecisionIntelligence#EdgeMarket#DataDriven#CulturalTrends
High-profile matches expose more than skill — they reveal system dynamics.
For Nottingham Forest vs Liverpool, EdgeMarket analyzes scenario formation:
• Momentum vs control
• Tactical flexibility
• Fatigue and recovery cycles
• Pressure response under crowd intensity
Rather than framing outcomes as binary, we focus on how probabilities evolve before and during the match.
Sport is one of the clearest real-world laboratories for decision intelligence.
#DecisionIntelligence#SportsAnalytics#PremierLeague#EdgeMarket#SystemsThinking#OutcomeAnalysis
Geopolitical questions rarely move markets when they become obvious.
They move when probability starts shifting before formal signals appear.
That is why prediction systems matter.
Not because they claim certainty, but because they surface how conviction changes while narratives are still forming.
At EdgeMarket, we study how distributed judgement reacts to emerging geopolitical scenarios long before consensus hardens.
The important signal is rarely the headline itself.
It is how probability changes before the headline arrives.
#EdgeMarket#PredictionMarkets#Geopolitics#AI#MarketIntelligence#Decentralization#GlobalRisk#DecisionIntelligence
Markets move on signals.
Reality moves on decisions.
A single announcement could reshape geopolitics, energy prices, defense markets, and global risk appetite.
The question isn’t what you think
it’s what happens next.
EdgeMarket tracks real-world outcomes, not opinions.
Will a Ukraine peace deal be announced by February 28?
#Geopolitics#GlobalRisk#PredictionMarkets#DecisionIntelligence#Ukraine#USPolitics#EdgeMarket#FutureSignals#Macro