Programming in 2025: LLMs, Agents, and Tools for Efficient Coding
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In this riveting video from the sentdex channel, the enigmatic world of programming in 2025 is explored with the use of large language models (LLMs) and agents. The host delves into the polarizing opinions surrounding these cutting-edge technologies, with some dismissing them as mere hype while others hail them as game-changers. Introducing OpenAI's Open Hands as a user-friendly agentic layer, the host sheds light on its functionality, likening it to a sophisticated tool that simplifies coding tasks with loops, if statements, and prompts. The audience is taken on a journey through the realm of Cursor, a similar tool that offers advanced features but comes with a price tag, contrasting it with the more accessible Open Hands that can be paired with open-source models like GPT-3 or CLIP.
Amidst technical challenges in loading models, the host shares insights on leveraging tools such as Chad GPT to navigate the complexities of the process. Demonstrating the setup of Open Hands, the host underscores the versatility of agents and their compatibility with various models, showcasing the flexibility and adaptability of these cutting-edge tools. Emphasizing the importance of breaking down tasks into manageable steps when utilizing agents, the host uploads a Shakespeare text file to serve as training data for an evolutionary algorithm, sparking curiosity about encoding characters into bits for a unique language model. The video provides a glimpse into the process of creating training data, including character encoding and defining input and output parameters, offering a peek into the innovative possibilities unlocked by these technologies.
Venturing into the realm of quick research and development, the host discusses the advantages of using agents for swift prototyping and experimentation, highlighting the need to approach complex problems incrementally. The video culminates in a discussion on maintaining organization in the workspace through the creation of a README.md file, showcasing the host's meticulous approach to tracking progress and setting objectives. As the host navigates through the evolving landscape of AI tools and the dynamic nature of AI prompts, viewers are treated to a glimpse of the rapid advancements in the field, underscoring the ever-changing and exhilarating journey of programming with LLMs and agents.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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Viewer Reactions for Programming with LLM Agents in 2025
Key points for quick navigation provided in the comments
Positive feedback on the return of the content creator
Request for a video on backpropagation for the NNFS series
Excitement about the dashboard visualization
Mention of using AI to code together as a coworker and teacher
Inquiry about the cost of Anthropic api calls for the project
Reference to frustration with transformers and neat projects in the past
Question about where to find projects like Open Hands
Preference for aider over the discussed topic
Humorous comment about the timing of the video's relevance
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