gauravvij137

8 ms·

31.
Colab Notebook for finetuning Gemma 2 2B IT model(colab.research.google.com)
4 points by gauravvij137 2y ago|2 comments
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by gauravvij137 2y ago
Here's a free Colab notebook to fine-tune Gemma 2 2B-it model on MonsterAPI.ai Gemma 2 2B from @Google @GoogleDeepMind is quite an interesting model as it's only 2 billion parameters in size and is able to beat a variant of GPT 3.
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by gauravvij137 2y ago
We have developed an exhaustive prompt by prompt comparison case study between Llama 405B and GPT 4O Overall, GPT 4o's answer seemed to be more acceptable as per the use-case but 405B was not much behind. In fact in many areas, it seem
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Llama 405B vs. GPT 4O – Prompt by prompt comparison(blog.monsterapi.ai)
4 points by gauravvij137 2y ago|1 comments
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Synthesize instruction datasets from PDFs for LLM Fine-tuning(medium.com)
1 points by gauravvij137 2y ago|0 comments
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Is it 405B or 70B Llama on Meta chat?(meta.ai)
2 points by gauravvij137 2y ago|1 comments
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by gauravvij137 2y ago
I have repeatedly asked this question in the chat I get by clicking on "Try 405B model" on Meta AI website and then it always tells me that it has 70 Billion params. If that's the case then it might end up giving wrong inform
38.
Show HN: An API to fine-tune Whisper AI Model for high fidelity transcriptions(colab.research.google.com)
3 points by gauravvij137 2y ago|0 comments
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by gauravvij137 3y ago
This colab notebook uses 2 OSS LLMs: - Zephyr 7B - SDXL And it produces 4 outputs: - Blog content - Blog title - Meta description - Header image(s) Zephyr is really powerful and cost effective in terms of producing high quality output while
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Show HN: Auto Blog Writer with title, description and images (Zephyr and SDXL)(colab.research.google.com)
4 points by gauravvij137 3y ago|1 comments
41.
by gauravvij137 3y ago
Finetuning Mistral on No Robots dataset leads to higher performance compared to Finetune Zephyr 7B OSS model.
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Finetuned Mistral 7B outperforms finetuned Zephyr 7B(blog.monsterapi.ai)
2 points by gauravvij137 3y ago|1 comments
43.
SDXL image generation using speech(colab.research.google.com)
1 points by gauravvij137 3y ago|1 comments
44.
by gauravvij137 3y ago
Just speak and use natural language to ask for an image and this notebook will generate high fidelity images using a pipeline of 3 LLMs hosted on MonsterAPI.
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Llama Index and MonsterAPI for RAG Q&A on business docs with limited budget(blog.monsterapi.ai)
1 points by gauravvij137 3y ago|1 comments
46.
by gauravvij137 3y ago
This integration results in access of LLMs like Llama 2, Falcon and MPT easily and at low cost for RAG question answering on PDFs and docs.
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A comprehensive guide on finetuning Llama 2 LLM(blog.monsterapi.ai)
1 points by gauravvij137 3y ago|1 comments
48.
by gauravvij137 3y ago
This guide walks you through using a no-code llm finetuner for finetuning Llama 2 7B and 13B models without any complex setup of infrastructure to run it.
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by gauravvij137 4y ago
The only way to get rid of centralized choke points is to actually go decentralized. At Q Blocks, we're working on making this solution a reality for a lot of the ML devs constrained by the computing costs on cloud.
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by gauravvij137 4y ago
Similar to this approach, at qblocks.cloud we bring under-utilized GPU servers from crypto miners and data centers to use for AI training and deployments at 50-80% low cost than traditional clouds. On-demand and at scale.
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GATO – A general purpose AI agent that can perform 450 tasks(qblocks.cloud)
2 points by gauravvij137 4y ago|0 comments
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Cost of building the biggest supercomputer (Fugaku) in 2020(qblocks.medium.com)
2 points by gauravvij137 4y ago|0 comments
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by gauravvij137 4y ago
In a way, it is similar to our approach at Q Blocks. Decentralized GPU computing for ML.
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I generated 752 cold business email leads in 15 minutes(medium.com)
4 points by gauravvij137 8y ago|0 comments
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Movense – 360 product spins within minutes(movense.com)
2 points by gauravvij137 9y ago|0 comments