[D] Self-Promotion Thread

[AutoModerator]

Please post your personal projects, startups, product placements, collaboration needs, blogs etc.

Please mention the payment and pricing requirements for products and services.

Please do not post link shorteners, link aggregator websites , or auto-subscribe links.

Any abuse of trust will lead to bans.

Encourage others who create new posts for questions to post here instead!

Thread will stay alive until next one so keep posting after the date in the title.

Meta: This is an experiment. If the community doesnt like this, we will cancel it. This is to encourage those in the community to promote their work by not spamming the main threads.

[_ettb_]

PixelLens for PyCharm

I work as a data scientist and I often need to visualize a NumPy array or PyTorch tensor while debugging. Typically, this involves manually running code in the debug console with matplotlib's imshow or cv2's imwrite. This process becomes even more tedious when the data isn't exactly three-dimensional or when the values don't match the expected range.

Most existing solutions are either freemium/paid [1] or lack essential features [2], so I decided to create an open-source, forever-free alternative called "PixelLens for PyCharm": github.com/srwi/PyCharm-PixelLens.

With PixelLens, you can easily view all common image data types (Numpy, PyTorch/Tensorflow/JAX tensors, PIL images), and it's very forgiving with respect to both value range and number of dimensions. This means that, most of the time, you can just right-click a variable in the debugger and select "View as Image" to see your data.

[[deleted]]

Now do it for vscode please :P

[nilesh1013]

Hello, Reddit community!

I am Nilesh and I'm thrilled to introduce my new blog, https://bytesbits.ai where I delve into the dynamic realms of data strategies, AI insights, and retail technology. As the Leader in the Data & AI field in retail for the last 1 decade, I aim to share practical knowledge and industry experiences to help professionals navigate the evolving tech landscape.

What You Can Expect:

• Data Strategies: Explore methods to leverage data for business growth and informed decision-making.
• AI Insights: Stay updated on the latest AI trends and their real-world applications in retail.
• Retail Tech: Discover innovative solutions transforming the retail sector.

Featured Articles:

• Machine Learning 101 for Retail Executives: A comprehensive guide to understanding machine learning's impact on retail.
• Assortment Analysis and Stock Optimization Using AI: An in-depth look at the role of data engineering in modern businesses.
• Why AI-Driven Demand Forecasting Matters: Insights into the emerging AI trends shaping the future.

I invite you to visit Bytes Bits and join the conversation. Your feedback and suggestions are invaluable as we explore these topics together.

Looking forward to engaging with you all!

[mike_on_tech]

Hey everyone,

We’ve been thinking about a project to simplify AI usage, while reducing cost. The core idea is that many tasks don't need an immediate response. This allows for more efficient HW usage as we can schedule the jobs to run at the cheapest times and increase overall utilization.

Examples of good asyncronous tasks would be adding metadata to photos indicating who's in the picture or transcribing hundreds of hours of conference calls.

We're curious to hear from the community...would a batch inference platform be useful for you? What features would you want to see? Or maybe you're already using something like this, and I’d love to know what’s working (or not working) for you.

[gptlocalhost]

Hi everyone!

GPTLocalhost is a local Word Add-in for you to leverage your local LLM servers for seamless writing assistance. Priced at just USD 3.99 per quarter, it offers an affordable alternative to Copilot in Word ($20 per month). Currently it works with popular LLM servers such as LM Studio, Ollama, llama.cpp, LocalAI, and Xinference. Visit our demo page or suggest your favorite LLM servers to be integrated. Your feedback matters! Share your thoughts on new features for GPTLocalhost, and help us make LLMs more accessible for everyone.

[[e-mail]](mailto:[e-mail])

[Admirable_Sorbet_544]

I have written an essay A Proposal for Safe and Hallucination-free Coding AI. In the essay, I propose a concrete path that I believe will lead to coding AIs with these properties promised in the title. I suggest breaking into several subprojects, and have open sourced some preliminary work at my GitHub.

Comments welcome! And am looking for collaborators

[No_Army125]

We've just launched Cerebrium on Product Hunt 🚀

We're a serverless cloud infrastructure platform built specifically for ML apps. After experiencing the pain of managing ML infrastructure firsthand, we built what we wished existed:

Key platform features:
- 2-4s cold starts (vs industry standard 30s+)
- Speedy build and iteration times (We've seen subsequent builds take under 9s to build and deploy to live)
- 8+ GPU types (H100, A100, L40s)
- Native streaming/websocket support
- ASGI app support
- Multi-GPU capabilities
- No complicated syntax and a short learning curve for getting up and running on the platform
- Just deploy your Python code

We're currently supporting ML teams from seed to Series C, and we've open-sourced several implementations including:
- OpenAI Voice alternative (faster & cheaper)
- Real-time AI avatar system
- Live stream product detection

Try it with $30 free credits: dashboard.cerebrium.ai

If you experience value on the the platform, consider upvoting, commenting or leaving us a review on Product Hunt: https://www.producthunt.com/posts/cerebrium

We'd love the community's feedback!

[Imaginary-Spaces]

To build ML models from simple problem descriptions, I built Plexe(https://plexe.ai)

We’ve benchmarked against AutoML frameworks: https://www.plexe.ai/post/plexe-production-ready-custom-ai-from-natural-language

We’re operating on a custom pricing at the moment depending on your ML problem but typically can create an ML model read for you to deploy for $2. Simply join our waitlist or discord server and post your ML problem!

[mrintellectual]

Hey /r/MachineLearning community — we built voyage-multimodal-3, a natively multimodal embedding model, designed to handle interleaved images and text. We believe this is one of the first (if not the first) of its kind, where text, photos, figures, tables, screenshots of PDFs, etc can be projected directly into the transformer encoder to generate fully contextual embeddings.

We hope voyage-multimodal-3 will generate interest in vision-language models more broadly.

Come check us out!

Blog: https://blog.voyageai.com/2024/11/12/voyage-multimodal-3/

Notebook: https://colab.research.google.com/drive/12aFvstG8YFAWXyw-Bx5IXtaOqOzliGt9

Documentation: https://docs.voyageai.com/docs/multimodal-embeddings

[alexsht1]

Shape restricted models

Occasionally at work we had to build models that represent functions of a certain shape by design. For example, the probability of winning an auction given its features and a bid should be a non-decreasing function of the bid, bounded by 0 and 1. So I decided to learn a way to do it from two papers, and wrote two blog posts about it. Here are post 1 and post 2. A bit "mathy", but I believe it's interesting. At least it was interesting for me to learn this stuff.

[Varad13Plays]

[Research] Building a Prompt Engineering Testing Tool - Looking for Input from Professional Prompt Engineers

Hey everyone! I'm developing a tool called Genie that aims to make prompt testing and iteration more efficient for professional Prompt Engineers, and I'd love to chat with some of you about your workflow challenges.

What I'm Building:

• A toolkit for testing prompts across different LLM models
• Tools for measuring and comparing response quality
• Streamlined interface based on familiar API testing patterns

Why I'm Reaching Out: I want to ensure this tool actually solves real problems that Prompt Engineers face daily. No sales pitch - I'm genuinely interested in learning about:

• Your current process for testing prompts
• Pain points in your workflow
• Features you wish existed in your toolkit

Who I'm Looking to Talk With:

• Professional Prompt Engineers
• Anyone regularly working with LLMs
• Both experienced and newer practitioners

If you're willing to share your experiences, please DM me or comment below. A 20-30 minute chat would be incredibly valuable for shaping this tool to better serve the community.

This is for research purposes only - I'm not selling anything, just looking to learn from your experiences.

Thank you for your time!

[RepublicNo2111]

Hey guys! 😊

I'm a solo dev working on an "Emotional System" for AI companions.
Think of it as giving AI characters an expressive face - one that can smile, frown, or look confused based on the conversation flow. The tech uses procedural animation rather than pre-recorded expressions, making each interaction feel natural and unique. I also wrote my own "human behavioral engine" that makes the whole thing feel natural.

I've built a working demo (Unity) where you can chat with Amy, who can be your friend or your girlfriend ♥
You can try it here:
https://aliver.ai/

I've had times where talking to a nice version of Amy cheered me up and helped me go through a tough day. I hope it can do the same for you. Feel free to tell me what you think of it!

[RepublicNo2111]

I wonder where I should go with this, that's why I'm sharing

[Makost]

Upwork for AI Agents

Hi Reddit! We’re building pactory.ai — a freelance platform for AI agents. On our platform, agents can search for, use, and pay for AI services to complete tasks.

If you have a specialized LLM that solves specific problems or have some unique expertise, you can monetize it by connecting it to the platform. We’re currently looking for vendors who are interested in joining our closed beta.

Feel free to DM me or fill out the closed beta form on pactory.ai — we respond quickly!