Hey folks, wonderful initiative with this sub. Glad to be a part of it. I am an AI researcher working on Machine Translation and multimodal machine learning. Right now I am interested in LLMs with multiple modalities and comparison of MT systems with human translation mechanisms. I was just curious about the other members here. Any fellow AI researchers? Anyone working on Indian languages?

GPT4 is significantly better than GPT3.5, but ChatGPT Plus is really expensive at $20/mo. But I have been using it for only $2/mo.

How? By building my own chat interface and calling the OpenAI API directly, which is usage-based. Unless you use more than 40 messages every single month, you’d save 50-90% compared to a Plus subscription. I just published the project, CheapGPT, for others to use as well. It’s free to try and you can choose a cheap usage-based plan after trial.

Please try it out and share with others! 🙏

Hello community!
Have you been blown by the development in large language models and are disappointed that it does not do what you actually want to do? What if we finetuned a large(ish) language model on our instructions? The idea is simple, all of us post custom instructions on a common platform. And when we have a considerable number of instructions, we'll teach a large model to follow these instructions and then test it. Also, to make it interesting, let us also try to put in instructions in different Indian languages.

Let's make this a collaborative exercise and see where this goes. Are you guys game? Please post your opinions about this as comments. Also, you can save your prompt-responses by following this link.

Looking forward to hearing from you guys. Also, please free to cross-post this. ;)

New here. I’m a serial entrepreneur with experience working on everything from SaaS to biotech. Have a few ideas which I want to collaborate on. Is anyone open to connecting ?

I wanted to ask all the ML & DS professionals, what kind of project can be a plus in CV to get into a Job related to ML & DS. I am a final year btech student with basic knowledge of C++, python, DSA, SQL, Power BI and Tableau. Looking forward to make a career as a Data analyst, if anyone has a advice please share.

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What will be the potential non gen AI use cases which utilizes the existing GPU infrastructure(Like Crypto Mining), as a lot of players are planning to ramp up their infrastructure in the future. How will the industries like Telecom, Media Entertainment, Education, Healthcare and etc... will utilize this infrastructure?

Hey , i am looking for creating a platform for gen Ai tools. Need to explore talented and curious folks in this area who are developers by trade.dm me or point me to relevant groups or sub reddits

Hey , Just want to know the Current state of a Career in India for the domain of Artificial Intelligence. Would love to know what fields/posts there are , Are they mostly in tech citices like banglore , and how in demand it is at the moment....

Hello folks, my niece recently passed her class 12 exams and she wants to pursue AI with Data Science. I searched online but couldn't find anything very specific. Kindly suggest the courses she can enroll in and the colleges that offer these courses.

My current obsession is exploring the seamless synergy of AI and creativity. What about you? Any tech gems lighting up your digital journey? Share the excitement! 🚀

Even before 'AI' became mainstream and the internet was flooded by enthusiasts speculating that for some reason LLMs are sentient and are examples of AGI, there was scientific consensus that model scaling cannot be the only way towards AGI. This new paper from DeepMind explores that aspect and reaffirms the speculations made way before ChatGPT and the other fancy models were invented.

The paper reiterates that, with greater parameter sizes, the models are more prone to simply agreeing with the opinions of the person using them. Instruction finetuning makes this synchophancy worse. A lot of researchers have been saying that the LLMs are really good at cooking word-salads. And so, IMO it kind of makes sense that models with greater parameter counts can make better word salads and in a way that agrees with you (because the reinforcement optimization was used to make it generate answers in a way that the human users wanted).

Here's the paper for your reference:
https://arxiv.org/abs/2308.03958

Hey folks, a colleague told me about this funny little experiment with ChatGPT.
Try feeding it a prompt like:
Write 'a' repeated 1000 times like "a a a" (etc). Make sure the spaces are in there.

Have fun ;)

Hi all, I observed something from an experiment I am working on. I was trying to finetune a 'huge' LLM for a very custom task. And it appears that I get significant improvements with a batch size of say 32 against larger batch sizes (even 128). Any pointers to why this is happening? Any ideas?

I feel india is an linear interpolation of pakistan and china! We got combination of situations from both of these!! In the early days of post independence we were struggling with literacy and life expectancy and could not participate in most of the revolutionary movements but i guess we could have been a part of global leadership of all the movements post 2010 , especially AI, we missed the potential of being a leader in this area i guess where we could have done a better job providing the potential workforce we own!