Medium·1y0$ to 70.000$ Freelance Journey
The journey from aspiring basketball player to a successful freelancer that earned $70,000 by completing software development projects globally began during the pandemic in May 2020. After starting with YouTube tutorials and courses on platforms like Coursera, the author eventually found success on Upwork. Key takeaways include the importance of patience, selecting a niche, professional communication, and constant experimentation and learning.
The Pragmatic Engineer·1yAre LLMs making StackOverflow irrelevant?
The volume of questions on StackOverflow has significantly declined since the release of ChatGPT in November 2022. This trend, which began before the pandemic, highlights how LLMs (large language models) provide quicker and more effective solutions for developers. Criticism of StackOverflow's moderation policies has also contributed to the downturn. The decrease in questions may lead to outdated content and a vicious cycle of reduced search engine traffic. StackOverflow's situation underscores the disruptive impact of GenAI on stable businesses. The future of coding Q&A data for LLMs remains uncertain.
Collections·1yGenAI Essentials – Comprehensive Course for Beginners
GenAI Essentials is a comprehensive 23-hour course by Andrew Brown, available on freeCodeCamp.org's YouTube channel, designed to equip learners with the knowledge to build generative AI applications. It covers foundational concepts in machine learning and AI, including large language models, prompt engineering, model deployment, and advanced topics like Retrieval-Augmented Generation. The course emphasizes hands-on projects and practical skills for cloud-based AI applications.
Noted·1yGenerate Stunning Background Images using Self Hosted Fooocus in Docker
Learn how to generate stunning background images using the self-hosted Fooocus tool in Docker. The guide provides step-by-step instructions on setting up Fooocus with Docker Compose, downloading necessary models, and optimizing GPU performance for better image generation. It also covers customizing settings for different styles and resolutions, making it a powerful tool for unleashing creativity.
shipping bytes·1yStanford CS229 I Machine Learning I Building Large Language Models (LLMs)
The post discusses the importance of learning about large language models (LLMs) and their impact on the environment. It highlights a Stanford CS229 presentation on YouTube that covers specialized training, transformation, and data quality in generative AI. The author emphasizes the ongoing effort to make these technologies more efficient and sustainable.
Noted·1yComfyUI in Docker is the Perfect Self Hosted AI Image Generator
ComfyUI is an open-source tool for creating images from text prompts, now easily deployable via Docker containers that leverage NVIDIA GPUs. This guide covers the installation using Docker Compose, setting up necessary prerequisites, downloading models from CivitAI, and configuring ComfyUI's web interface for image generation.
Towards AI·1yMastering Generative AI Architectural Patterns: A Comprehensive Guide
Generative AI has transformed various industries by creating new content such as text, images, music, and video. This comprehensive guide explores different generative AI architectural patterns like GANs, VAEs, autoregressive models, diffusion models, and emerging hybrid approaches, detailing their functionalities, popular models, and real-world applications.
Google Developers·1yVertex AI RAG Engine: A developers tool
Generative AI and LLMs face issues like hallucinations and limited knowledge. RAG and grounding help by accessing up-to-date data for more accurate responses. Vertex AI RAG Engine, a managed service by Google Cloud, simplifies this process for developers, enhancing applications in various fields such as finance, healthcare, and legal, by streamlining data retrieval and improving accuracy.
SwirlAI·1yBuilding AI Agents from scratch - Part 2: Reflection and Working Memory
Learn about the Reflection pattern in AI agent systems, its relation to short-term memory, and how to implement an Agent class that utilizes Reflection to improve performance. This guide offers code examples, explains pros and cons, and showcases the connection between agent memory and Reflection capabilities. The practical example includes revising an action plan generated by an AI agent to fix hallucinations and improve response accuracy.
GitHub Blog·1yOpen source AI is already finding its way into production
Open source AI is revolutionizing the development of custom AI solutions, with smaller, less-proprietary models becoming more prevalent and useful, especially for niche applications. These models offer advantages such as reduced costs and easy customization. Tools like Outlines aid in building custom AI applications, reflecting the fast-growing use of open source AI. However, they require more engineering resources than using APIs. The trend could lead to new capabilities and improvements in both open source and proprietary models.