Responsible AI and Ethics in AI Engineering
Explore ethical AI engineering practices and their societal impact. Learn to adapt to the changing landscape and consider human factors when building AI-powered systems and products.
The Rise of the AI Engineer
Explore the emerging role of AI Engineers as applied AI shifts, creating new opportunities in Software 3.0. Learn about Foundation Models and their impact on software development.
How to Learn to Work with AI in 2024 - Complete Roadmap and Courses
Explore a comprehensive roadmap for mastering AI in 2024, covering programming basics, AI fundamentals, business applications, app development, and LLM fine-tuning. Gain practical skills to leverage AI effectively.
Building Local AI Agents with LangGraph and Ollama
Explore building local AI agents using LangGraph and Ollama. Learn integration techniques, code implementation, and compare with vLLM. Gain insights on Ollama's effectiveness for agent development.
Why Retrieval Augmented Generation (RAG) is Overrated
Explore the limitations of Retrieval Augmented Generation (RAG), including hallucinations, complexity, and cost. Learn practical approaches to make RAG more effective in AI applications.
4 Best AI Programming Tips - Featuring Claude 3.5
Discover four powerful AI programming techniques, including omni prompting and context referencing, to enhance your coding skills and efficiency when working with AI models.
The Innovator's Dilemma: To Build or Not to Build - Machine Learning Teams in the Age of AI
Explore the strategic decisions facing in-house ML teams as AI evolves, examining the choice between AI engineering adaptation and domain-specific innovation, while evaluating RAG's potential for knowledge tasks.
A Survey of Production RAG Pain Points and Solutions
Explore production challenges and solutions for Retrieval Augmented Generation (RAG) in LLM applications. Learn about pain points, evolving architectures, and strategies for building robust AI systems.
Accelerating Multimodal AI - From Tabular ML to Generative Video Systems
Explore challenges and solutions in multimodal AI, from data management to efficient inference. Learn about systems supporting research and productionization in generative video and language models.
Zapier AI Gmail Automation - Streamlining Email Outreach Tasks
Streamline email outreach with AI-powered Zapier workflows. Learn to build and implement automated systems, saving time on mundane tasks and boosting business efficiency.
Building Chatbots with Hugging Face LLMs - 5 Expert Tips
Discover 5 expert engineering tips for building chatbots using open-source LLMs like Mistral. Learn crucial technical nuances for transitioning from proprietary APIs to open-source models.
Why I'm Staying Away from Crew AI - A Critical Analysis
Explore limitations of Crew AI for production, understand multi-hop questions, and learn alternative approaches for building AI applications. Gain insights on future multi-agent frameworks.
Neo4j Knowledge Graphs for Smarter AI-Agent Search
Explore how Neo4j knowledge graphs enhance AI agent search, improving response quality through advanced AI engineering techniques like meta-prompting and RAG.
Why AI Is Here to Stay and How New Developers Can Find the Right Balance
Explore AI engineering opportunities, learn to leverage AI tools, and stay future-proof in tech with insights from Sam Julien, Director of Developer Relations at Writer.
Custom RAG Pipelines and LLM Fine-Tuning - A Gradient Tutorial
Explore custom RAG pipelines and LLM fine-tuning using Gradient. Learn to deploy fine-tuned models, mimic Yoda's speech style, and efficiently fine-tune 13B parameter open-source models for unique applications.
Designing ML Infrastructure for ML and LLM Use Cases
Explore best practices for building scalable ML infrastructure tailored to ML and LLM use cases. Gain insights on reusable architectures, maturity metrics, and navigating challenges in MLOps implementation.
Design and Development Principles for LLMOps - MLOps Podcast #254
Explore design and development principles for LLMOps with Andy McMahon. Learn about software engineering practices, new techniques, and the transition from MLOps to LLMOps in this insightful discussion.
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https://cloudlessons.ru/v/540/ - Профессия AI-Дизайнер https://cloudlessons.ru/v/440/ - Профессия моушн-дизайнер Со всеми нашими курсами можно ознакомиться здеь: https://videosmile.ru/ Telegram: https://t.me/videosmile_ru #cinema4d #videosmile #нейросеть #моушндизайн
Нейросети для видео и изображений | Новый бесплатный мини-курс для новичков
ИИ - это супер-полезный инструмент в сфере компьютерной графики! Поэтому приглашаем на наш бесплатный мини-курс по нейронкам для видео и изображений - https://cloudlessons.ru/mc/neuro2/?camp_id=26910 Автор мини-курса: Михаил Бычков Нейросети - это программы, которые повторяют модель человеческих н
Nano Banana 2 (Pro) - Это шедевр! Обзор возможностей и сравнение с предыдущей версией
В этом видео мы подробно разберем обновление нейросети Nano Banana 2 (Pro) от Google! Мини-курс нейросети для начинающих - https://cloudlessons.ru/mc/neuro/?camp_id=26877 Подробный курс по нейросетям - https://cloudlessons.ru/v/490/ Автор видео: https://www.youtube.com/@UCPRRTRFJHgAIMn5LOtX_JQg В
Нейросеть Nano Banana теперь в Photoshop! Обзор ИИ и сравнение с Adobe Firefly
В этом видео мы подробно разбираем новую нейросеть Gemini 2.5 Nano Banana, которая теперь доступна прямо внутри Adobe Photoshop! Бесплатный мини-курс по нейросетям - https://cloudlessons.ru/mc/neuro/?camp_id=26839 Полный курс "Нейросети для дизайна и видео" - https://cloudlessons.ru/v/490/ Это одно