Indic focused SLM/LLMs

Yeah, you heard it right. Whatever these “gurus” and course scammers are shilling in the name of prompt engineering and crores of salary is 💩. Heads up, companies are already working on augmenting prompts using Natural Language Generation techniques which build on top of Generative techniques like GPT and other Transformer based Architectures. This is exactly the same as when Search Engines came out and you had to know the right queries to search for to get the answer, perhaps use flags like “site:wikipedia.com” Do we have anything like a Search Query Engineer? As things advance, the human edge of refining prompts will be automated to the highest degrees. Perhaps, Subject Matter Experts will guide for commercial or enterprise level use cases but apart from that…. NO! You will not become rich by becoming a Prompt Engineer. Perhaps, now is the time to look at the next frontiers of AI and work on the cutting edge, that’s the best way to future-proof.

Is Kalaido.ai legit? Or is this another one fine-tuned using OpenAI models or wrapped around them? The demo looks good tbh

Is there anyone here who is into Generative AI testing or development as part of the job role? The LLMs today are at best generic question answering machine. The answers are not deterministic. How do you think would these be deployed at scale?

Anyone who has worked with cross encoder model, I need help fine tuning it. Please reply or you can DM too.

Any grads having an idea on ML - can youu help me guys Willing to complete my project on handwritten text recognisation - anybody who have knowledge can help me

I'm thrilled to share our latest developments in our startup: We launched our prototype and it's gaining momentum! Our previous product, currently in stealth mode, has remarkable insights. However, the GPU usage costs have skyrocketed. Our new goal? To build an AI platform that serves as a cost-effective hub for training AI models. No one's tackling this issue, so we are the first ones to solve this issue. We already have some ties with the microchip manufacturer. Here's the thing: While we've been self-funded until now, we're now exploring seed funding. But there's a catch – we're cautious about accelerators and VCs. I have seen them undervalue my mate's company and prioritize quick revenue over steady growth. So how should we go about it ? I'll drop an example post for much clearer problem statement.

Who cares about Indic language AI? There are hardly any google searches in those languages in the first place

Hey everyone, happy to answer any questions around Data Science/ML/AI and making a career within it A brief about me, I work currently as a Sr. ML Engineer at an Indian unicorn startup I graduated 5+ years ago and have since worked as a Data Scientist / ML Engineer at an ecommerce company and social media company. My designations have changed based on the industry requirements and work too changed based on that. Would love to take questions on what it means to be an ML Engineer, my early learnings from a career in data science, and thoughts on AI. Look forward to all questions :)

Hello grapeviners, I am from non-tech background but have experiential tech knowledge while I have worked as a PM. I want to know what technical knowledge is required to become good at AI product mgmt and how to gain it? TIA :)