OpenAI представила шкалу оценки развития AI
Она состоит из пяти уровней и предназначена для отслеживания прогресса в создании AGI —искусственного интеллекта, способного превзойти естественный.
Уровни развития AI по версии OpenAI:
1. Чат-боты. AI способен общаться на естественном языке;
2. Рассуждающие. Решение задач на уровне образованного человека;
3. Агенты. Система, способная совершать действия;
4. Инноваторы. AI может помогать изобретать;
5. Организации. AI может выполнить работу целой организации.
OpenAI полагает, что её технология уверенно прошла первый уровень и приближается ко второму.
Компания ранее определяла AGI как «высокоавтономную систему, превосходящую людей в большинстве экономически значимых задач». По оценкам главы OpenAI Сэма Альтмана, такой уровень развития AI будет достигнут в ближайшие 10 лет.
#AI#OpenAI#AGI
https://www.bloomberg.com/news/articles/2024-07-11/openai-sets-levels-to-track-progress-toward-superintelligent-ai?srnd=technology-vp
⚡️200+ готовых сценариев для n8n
Нашёл простой и полезный ресурс: GitHub-репозиторий с 200+ бесплатными workflow для n8n.
Темы: продажи, маркетинг, учёт финансов, кодинг и личная продуктивность.
Что такое n8n
- Open-source инструмент для автоматизации без кода
- Визуальный конструктор: соединяете блоки и получаете процесс
- Есть сотни интеграций: почта, CRM, таблицы, мессенджеры, вебхуки
- Можно добавлять свою логику на JavaScript
- Запуск по расписанию или по событию, работает в облаке или на своём сервере
Как воспользоваться:
1) Скачайте нужный workflow (.json) и импортируйте в n8n
2) Вставьте свои API-ключи и учётные данные в блоки
3) Проверьте шаги и включите запуск по cron или webhook
▪Github
Update - еще 300 готовых решений: https://github.com/kossakovsky/n8n-installer
@ai_machinelearning_big_data
#n8n#ai#ml
#Job#Vacancy#AI#PerformanceEngineering#LLM#Remote
Location: Remote (outside of Russia)
Work format: Remote, Full-time
Company name: CloudSquad
Contacts: @natalia_kurland
Job Title: Staff/Principal Performance Engineer
About the Role:
We are seeking a highly skilled and motivated Principal Performance Engineer to lead the performance optimization of our cutting-edge Generative AI technology stack. This role is critical n ensuring the scalability, efficiency, and reliability of our Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) systems. You will be a key driver in identifying and resolving performance bottlenecks, optimizing resource utilization, and ensuring a seamless user experience. You will work closely with our AI research, software engineering, and infrastructure teams to deliver world-class AI solutions.
Responsibilities:
📌Performance Leadership:
- Define and implement performance engineering strategies for our Generative AI full stack, including services, application, LLMs, RAG pipelines, and related infrastructure.
- Lead performance testing, profiling, and analysis efforts to identify and resolve performance bottlenecks.
- Establish and maintain performance benchmarks and SLAs for critical AI services.
- Provide technical leadership and mentorship to performance engineering team members.
📌LLM Capacity and Tuning:
- Analyze and improve LLM inference performance, including latency, throughput, and resource utilization.
- Develop and implement strategies for LLM capacity planning and scaling.
- Collaborate with AI researchers to evaluate and improve LLM model architectures and training techniques for performance.
- Optimize LLM inference through techniques such as quantization, distillation, and optimized kernel implementation.
📌RAG Performance Optimization:
- Design and implement performance tests for RAG pipelines, including retrieval, ranking, and generation components.
- Identify and optimize performance bottlenecks in RAG systems, such as database queries, vector search, and document processing.
- Evaluate and optimize RAG system architectures for scalability and efficiency.
- Tune vector databases for optimal recall and latency.
📌Infrastructure Optimization:
- Collaborate with infrastructure teams to optimize hardware and software configurations for AI workloads.●
- Evaluate and recommend new technologies and tools for performance monitoring and analysis.
- Develop and maintain performance dashboards and reports to track key metrics.
- Optimize GPU utilization and memory management for LLM inference.
📌Collaboration and Communication:
- Work closely with AI researchers, software engineers, and product managers to ensure performance requirements are met.
- Communicate performance findings and recommendations to stakeholders at all levels.
- Stay up-to-date with the latest developments in Generative AI and performance engineering.
Qualifications:
📌Education:
- Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred).
📌Experience:
- 10+ years of experience in performance engineering, with a focus on large-scale distributed systems.
- 2+ years of experience working with AI/ML technologies
- Proven experience in performance testing, profiling, and analysis of complex software systems.
- Deep understanding of NLP architectures, training, and inference.
- Experience with vector databases and search technologies.
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Strong programming skills in python.
- Experience with performance analysis tools (e.g., profilers, debuggers, monitoring tools).
📌Skills:
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced and dynamic environment.
- Passion for AI and a desire to push the boundaries of performance engineering
#javascript#ai#algorithm#artificial_intelligence#chatgpt#claude#cursor#deep_learning#deepseek#gemini#generative_ai#gpt#llm#mcp#openai#python#rag#vibe_coding#vibecoding#vue#vuepress
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https://github.com/liyupi/ai-guide
Compliance Hub проводит опрос о перспективах использования искусственного интеллекта (ИИ) в области комплаенс, ПОД/ФТ и смежных областях.
Основные участники - специалисты в области комплаенс, ПОД/ФТ и смежных областей, а также представители иных функций из Казахстана и других юрисдикций.
Заранее благодарим за участие! Итогами опроса обязательно поделимся!
https://docs.google.com/forms/d/e/1FAIpQLSd764gZaFicLPBEsEDsedMA3ZwdwYp4aVvKt632F6XyPXnHKw/viewform
#ai#artificialintelligence#compliance#amlcft#antifraud#sanctionscompliance#dataprotection