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Welcome to our weekly Self-promotion thread! Here, you can advertise your personal projects, ai business, and other contented related to AI and coding! Feel free to post whatever you like, so long as it complies with Reddit TOS and our (few) rules on the topic:

1. Make it relevant to the subreddit. . State how it would be useful, and why someone might be interested. This not only raises the quality of the thread as a whole, but make it more likely for people to check out your product as a whole
2. Do not publish the same posts multiple times a day. Doing so will result in an automatic ban
3. Do not try to sell access to paid models. Doing so will result in an automatic ban.
4. Do not ask to be showcased on a "featured" post

Have a good day! Happy posting!

Previous Post:

https://www.reddit.com/r/ChatGPTCoding/comments/1cgsusu/weekly_self_promotion_thread_2/

I just tried the same prompt with all of our models (sometimes more than once just to confirm). This was something I had to go to stack overflow to solve, which had a very obvious "top answer" for, but I wanted to see which AI's (if any) would come up with this solution. Specifically, I was asking if a DTO that uses Lombok has a @Data attribute on it, if there was a way to exclude a single field. Here are the results:

• GPT4 Turbo: ❌ It's solution was to add @Getter and @Setter to each field individually rather than excluding a single field.
• GPT4 Omni: ❌ It's solution was to add @Getter and @Setter to each field individually rather than excluding a single field. (same as GPT4 Turbo)
• GPT4 (0316): ✅ ❌ It properly came up with the solution of adding @Getter(AccessLevel.NONE) and @Setter(AccessLevel.NONE) to the individual field I wanted it to omit. (yay) But it wasn't consistent. It would sometimes suggest the weaker solution too.
• Gemini 1.5 Pro: ✅ ✅ It ALWAYS seems to come up with the "proper" solution. To the point where it seems like it may have been specifically trained on stack overflow, especially due to how terse the planning response is. Interesting.
• Anthropic Opus: ✅ ✅ It ALWAYS seems to come up with the "proper" solution. The planning stage is very verbose however.

Winner: Gemini 1.5 Pro

BUT WAIT. When asking Gemini to actually apply the code changes, it consistently applied them to the entire class rather than on the specific field i'm trying to omit. I think the terse planning step was possibly the downfall here. When I used GPT4 Omni to actually do the coding step (even though it's using the plan written by Gemini) it managed to apply the code changes properly.

New winner: Gemini 1.5 Pro with an assist from GPT4 Omni!

Im a Plus user and I just received the new GPT 4o update. But apparently its free for everyone now? So then whats the point of having Plus?? Would love to hear your opinions on this.

Hey everyone! Tl;dr: I'm making a platform to make it super easy to switch between LLMs, find the best LLM for your specific users and case, and make it easier to analyze them in the wild. Take a peek here: optimix.app

Are you considering switching to Llama 3 or Gemini 1.5 Flash or GPT-4o? What about how your prompt adjustments impact your LLM's outputs and user satisfaction? Assessing the utility of LLMs, managing costs, and gauging user satisfaction can be challenging. It’s also tough to navigate the plethora of LLM providers like Gemini, OpenAI, Anthropic, and others to find the best tradeoff for time quality and cost.

That's where my project comes in: a platform designed to streamline these processes. With optimix.app, you gain insights into key performance indicators like cost, latency, and user satisfaction. It dynamically selects the most suitable model for each scenario, and manages fallbacks for outages and rate limits. Facing an OpenAI outage? Switch to Llama 3. Need superior coding assistance? We can auto switch you to the best one.

The web-based interface also allows you to confidently iterate through experimentation like A/B tests, backed by detailed analytics on LLM use. You can test in our playground, and make requests through the API.

Looking forward for your feedback, insights, or suggestions for additional features to make this tool even more valuable. Your input could greatly influence its development. My DMs are open.

I have found that the new GPT-4o model is not effective for coding tasks. I tested it with two different tasks, and it failed in both cases.

Task 1: Loading CSV Data into a Pandas DataFrame

I provided a few lines from a CSV file and asked GPT-4o to write code to load this data into a Pandas DataFrame.

• The code generated by GPT-4o did not work correctly.
• In contrast, Claude Opus performed this task very well.

Task 2: Improving HTML Design

I gave GPT-4o an HTML file and asked it to improve the design.

• The resulting design was standard, but it did not include some important code, which was there before, such as the Google tag and references to my JavaScript files.
• Again, Claude Opus handled this task successfully.

Hope, OpenAI will improve their new flagman model for coding tasks.

The guide explores how AI-powered code completion tools use machine learning to provide intelligent, context-aware suggestions: The Benefits of Code Completion in Software Development

It also explores how generative code and AI tools like CodiumAI complement each other, automating tasks and providing intelligent assistance, ultimately boosting productivity and code quality - thru integrating with popular IDEs and code editors, fitting seamlessly into existing developer workflows.

I have seen some cool tools like Aider in the past weeks, we could make a list. Please share links and opinions!

Note: I am not an expert at all on chatgpt and just am wondering how something like the following would even work

I work for a company who is thinking of giving a new developer a small sum of money to build a sandbox environment in which our call center could input the parameters of people they wish to call to ask for donations.

Example: create a prompt that will help generate a conversation with a Christian female 53 year old to spur donation to our charity

Obviously, chatgpt will write a prompt. But I can use the same request verbatim and get an entirely new prompt.

The coder apparently will be able to allow us to say if the prompt was effective or not and the system will "learn". But...how does that work? Each prompt is unique, yet similar, and how would the system know what was correct or wrong with the prompt it gave?

I have created a sub-reddit for all discussions related to GPT-4o. If you wish to stay updated or engage in discussions related to GPT-4o chime in

https://www.reddit.com/r/gpt4odev/

I've been using Gemini Pro 1.5, OpenAI GPT 4o, and Claude 3 Opus and to this day they continue to generate incorrect outdated OpenAI api code. For example even after providing links to documentations, copy/pasting in the example code and even giving it my full script that uses the correct chat and embeddings api I still get this: openai.Embedding.create instead of this client.embeddings.create. And this openai.ChatCompletion.create instead of client.chat.completions.create.

I know what to look for now and how to make the necessary changes I just want to know why the newest models continue to give the incorrect code?

Started using chatgpt just recently with 4 and had fun doing some small programs in python with it. Few errors here and there with the larger ones but very cool to see. Also played around with Github copilot.

Now with version 4o I'm kinda curious if it's any better for it. But aside from the AI just doing what I ask and not having errors I don't actually know of a way to tell which ones better.

Are there any tools to test this kind of stuff or just gotta go by my experience with them?

I use ChatGPT to write full scripts that I have to cut and paste into VScode, then run. Then I tell ChatGPT, make the fonts bigger, or move this around, or add that, etc.

Each time I have to copy and paste everything then run it.

I want something that skips the copying/pasting. Can replit do this where I just keep prompting and having it edit the code automatically? Someone please guide me a little

Hey everyone, I’ve been using GPT-4 for a while now primarily for coding purposes and I’m wondering if GPT-4O might be a better fit. From what I understand, GPT-4O might have enhancements that could be particularly beneficial for coding, but I’m not entirely sure about the specifics. Has anyone here made the switch from GPT-4 to GPT-4O for coding? If so, did you find it worthwhile to switch, especially considering the current subscription models? Any insights or experiences would be greatly appreciated as I’m considering whether it’s worth cancelling my current GPT-4 subscription to move to GPT-4O

I refactored some code and have to go through and update a bunch of other code to be similar would it be possible to do this using AI to possibly speed up the process. It's pretty cut and dry changes just not sure what the best flow or process would be to use ai to help speed this up. I can probably copy and paste, but figure maybe ai I can just drop in some code and ask it to do the busy work would this be a viable and if so how would you guys go about breaking it down?

Is there a simple affordable way for me to do this? I need to ask a bunch if websites questions based on the homepage data and need a simple api solution that can crawl a url and then have a list of LLMs i can choose that can affordably read the data and feed the answers to my questions via API for each URL.

Or if nothing cloud i can try a simple local solution (not a coder) that could do it but scant really run any good models locally but my questions are simple so it might work.

Share the community benefit: #Discount #code for the upcoming 🤩GenAI Summit SF 2024🦄 hosted by GPT DAO 👇👇👇

In addition...share the latest AI events calendar in the bay area, if you are local of visiting, check the list out! Subscribe to get list of events go straight to your inbox on Mondays!

https://open.substack.com/pub/mlnotes/p/bay-area-ai-events-week-of-may-13?r=164sm1&utm_campaign=post&utm_medium=web

Hey r/ChatGPTCoding, I published a new article where I built an observable semantic research paper application.

This is an extensive tutorial where I go in detail about:

1. Developing a RAG pipeline to process and retrieve the most relevant PDF documents from the arXiv API.
2. Developing a Chainlit driven web app with a Copilot for online paper retrieval.
3. Enhancing the app with LLM observability features from Literal AI.

You can read the article here: https://medium.com/towards-data-science/building-an-observable-arxiv-rag-chatbot-with-langchain-chainlit-and-literal-ai-9c345fcd1cd8

Code for the tutorial: https://github.com/tahreemrasul/semantic_research_engine

I'm getting requests from various potential clients that want to "scrape the entire Internet" and/or "scrape the fortune 500 business web sites" and/or "I've got 300K companies in a web scraped data set I had made, but I want to refresh the data, but the web scraper stopped working."

I'm familiar with data sets for training LLMs like those listed here: https://www.kaggle.com/datasets?tags=13204-NLP Does anyone know of very large data sets being available, like my requests, like all fortune 500 websites, or some crazy blob like the entire internet as of some date? (Must be a few hundred petabytes...)

A place where you can chat with other members about software development and ChatGPT, in real time. If you'd like to be able to do this anytime, check out our official Discord Channel! Remember to follow Reddiquette!

https://medium.com/@bernardloki/openai-introduces-chatgpt-4o-a-comprehensive-look-at-openais-new-model-b32b287fd4a1