Cross Encoder models are being used in Prod already?

Not used yet but trying to test if it works.

Software Developer

Product Manager

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

LLM's cross encoder

LLM's cross encoder- Grapevine

Welcome to Data Scientists's Private Community

Is anyone here who has built Indic-focused SLM/LLM models for text generation? If yes, please DM me. Want to understand the following things

1. Want to understand the training/fine-tuning and running costs.
2. I also want to understand how much training data was required to attain minimum acceptance criteria.
3. Was the effort worth the reward? Meaning that had you not built the model yourself and used any other foundational models, how could the cost and output differed?

Indic focused SLM/LLMs

Welcome to Software Engineers's Private Community

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

Are you an Ml Engineer

Software Engineer

Welcome to Indian Startups's Private Community

Am looking someone who is having AWS ml model deployment knowledge would like to ask few technical questions .
Kindly please help me.

AWS machine learning specialist

UX/UI designer

Try Transformer Explainer live demo: https://poloclub.github.io/transformer-explainer/

Enjoy the videos and music that you love, upload original content and share it all with friends, family and the world on YouTube.

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Transformer Explainer: Learn How LLM Transformer Models Work

Growth Manager

Hi guys, I am a Backend Engineer, with the evolving trends in AI and ML , I want to make myself familiar with things like Machine Learning, Deep Learning and LLM stuff. would appreciate free resources or a path.

Thanks

🙏 

Also do share your experience moving into these domains.

Free Resources to learn and break into AI/ML domain

Hi
I am working as a senior data scientist. I know ML and Deep Learning very well, but I lack the experience of productionizing models. I need help with a proper mentored course to understand MLops, LLMops, docker etc.
Any help is appreciated.

MLOPS course details

Data scientist

The AI Engineer, is the next new thing according to what I am hearing from top Leaders. One is involved in working with AI APIs and open-source models to productise AI capabilities. 

AI tasks that can now be accomplished with ease, thanks to the availability of foundation models and APIs. It also touches on the challenges in evaluating, applying, and productizing AI.

AI Engineer is the new role to get. The title is on the rise. I have been interviewing and a lot of companies seem to hire AI Engineers compared to ML Engineers now. 

OpenAI has changed the game since models and APIs has significantly reduced the time and resources required to accomplish AI tasks, making it easier for AIx to work with these technologies. This is the greatest thing ever in the history of mankind. 

We had room sized computers in 1960s that could only compute simple calculations. Now you have a more powerful computer in your microwave.

Now imagine, the day you can run GPT4 on your smartphone. The compute will get their with miniaturization of compute or offloading to cloud. We need more AI Engineers, please reach out to me in DMs please. I will get you an interview call if you have worked in DevOps, Infra, ML/AI, LLM finetuning or anything similar using PyTorch, Tensorflow etc.

The No-Nonsense Guide to AI Engineering

I’m would like to build an image generation model for specific use case. Anyone with similar experience open for short gig?

I’m looking for help in building a image generation model

Does anyone know of any good ml ai trainer who can train on topics like dl, llm, gen ai etc

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.

LLM's cross encoder

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