TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends
Back to channels

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #15141 · Sep 13

View postView original

#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

Hashtags

#python#large_language_models#machine_learning_systems#natural_language_processing
Results

6 similar posts found

Search: #dfir

当前筛选 #dfir清除筛选
赛博安全威胁情报🥸

@Cybersec_threat · Post #1359 · 08/28/2024, 11:10 AM

Find similarView

APT-Q-12 使用的 0day 漏洞技术和策略披露 https://ti.qianxin.com/blog/articles/operation-deviltiger-0day-vulnerability-techniques-and-tactics-used-by-apt-q-12-disclosed-en/ #好文推荐#DFIR

Hashtags

#好文推荐#dfir
3side кибербезопасности

@By3side · Post #792 · 04/08/2026, 08:01 AM

Find similarView

Настольная книга. Если вы давно мечтали увидеть все инструменты в одном месте, а не сохранять кучу разрозненных ссылок "на потом", то мы нашли буквально настольную книгу для исследователей безопасности. Наполнение: - Исследование сетей; - Управление уязвимостями; - Мониторинг безопасности; - и многое другое, классное, интересное. К каждому инструменту идёт краткое описание и минимально полезный набор команд. Мы себе уже сохранили, рекомендуем поступить также. #AppSec#DFIR 🧠Кибер ПТУ | 👨‍🏫Менторство ИБ 📂Другие каналы

Hashtags

#appsec#dfir
赛博安全威胁情报🥸

@Cybersec_threat · Post #1360 · 08/29/2024, 01:04 AM

Find similarView

WPS Office 存在0day(现已修复其中一个，另一个未修复完全)，正在被 APT-C-60 利用 https://www.welivesecurity.com/en/eset-research/analysis-of-two-arbitrary-code-execution-vulnerabilities-affecting-wps-office/ #广告#渗透接单中心@shanding007 #好文推荐#DFIR

Hashtags

#广告#渗透接单中心#好文推荐#dfir
GitHub Trends

@githubtrending · Post #15601 · 04/05/2026, 11:30 AM

Find similarView

#yara#awesome_list#blueteam#blueteam_tools#cti#detection#detection_engineering#dfir#hacktools#incident_response#ioc#iocs#ir#ransomware#redteam#rmm#security#siem#soc#threat_hunting#threat_intelligence You can access comprehensive security detection lists and threat hunting resources that help identify malicious activity across your infrastructure. These curated collections include indicators like suspicious file hashes, domain names, IP addresses, and behavioral patterns organized by threat type—from ransomware and phishing to command-and-control servers and vulnerable drivers. By integrating these lists into your security tools like SIEM platforms and endpoint detection systems, you gain immediate visibility into known threats while learning detection methodologies through guides and YARA rules. This accelerates your ability to hunt for compromises, validate security controls, and stay current with emerging attack techniques without building detection logic from scratch. https://github.com/mthcht/awesome-lists

Hashtags

#yara#awesome_list#blueteam#blueteam_tools#cti#detection#detection_engineering#dfir#hacktools#incident_response#ioc#iocs#ir#ransomware#redteam#rmm#security#siem#soc#threat_hunting#threat_intelligence