What AI engineers are building

Developers are building and sharing open-source AI tools and models for various applications, including coding, translation, and data analysis.

3 deep dives · 2 builder stories · 5 quick hits · 317 items scanned

LLMAI agentsMCPtransformersinference engines

Deep dives

GitHub

LLMtradingresearch

PengZhang64/circuit-framework

PengZhang64 has created a multi-agent LLM trading research system called Circuit Framework. This system allows for the creation and testing of various trading strategies using LLMs. The framework is open-source and available on GitHub. PengZhang64 is actively maintaining and updating the project.

Why it matters

Circuit Framework is significant because it provides a platform for researchers and developers to experiment with LLMs in trading applications. This can lead to the development of more sophisticated trading strategies and improved decision-making tools.

Try thisExplore the Circuit Framework repository and try implementing a simple trading strategy using LLMs.

View on GitHub↗

GitHub

coding agentsrecallefficiency

vshulcz/deja-vu

Vshulcz has developed a tool called Deja Vu, which enables retroactive search and recall of session logs for coding agents. This tool can help improve the efficiency and accuracy of coding tasks. Vshulcz has made Deja Vu open-source and available on GitHub.

Why it matters

Deja Vu is important because it addresses a common problem in coding agent development, which is the inability to recall previous interactions. By providing a solution to this problem, Deja Vu can enhance the overall performance of coding agents.

Try thisDownload and install Deja Vu, then experiment with using it to improve the recall of your coding agents.

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Hugging Face

transformersimage-text-to-textmultimodal

thinkingmachines/Inkling

Thinking Machines has released a model called Inkling, which is an image-text-to-text transformer model. Inkling has gained significant attention on Hugging Face, with over 1,000 likes and 10,000 downloads. Thinking Machines is a prominent developer of AI models and tools.

Why it matters

Inkling is notable because it demonstrates the growing interest in multimodal models that can process both images and text. This can lead to the development of more sophisticated applications, such as image captioning and visual question answering.

Try thisExplore the Inkling model on Hugging Face and try using it for an image-text-to-text task, such as image captioning.

View on Hugging Face↗

What people actually built

Hacker News

Show HN: I replaced a $120k bowling center system with $1,600 in ESP32s

The author built a bowling center system using ESP32 microcontrollers, replacing a $120,000 system with a much cheaper alternative.

How it works

The system uses ESP32s to control the bowling center's machinery and provide a user interface for customers.

Steal thisThe author's project demonstrates the potential for using low-cost microcontrollers to replace expensive proprietary systems in various industries.

View on Hacker News↗

Hacker News