milliondreams

8 ms·

31.
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs(allenai.github.io)
102 points by milliondreams 3y ago|10 comments
32.
Mistral 7B v0.2(huggingface.co)
2 points by milliondreams 3y ago|1 comments
33.
by milliondreams 3y ago
The correct link
34.
Ask HN: What do you all think of Modular's Mojo
5 points by milliondreams 3y ago|1 comments
35.
by milliondreams 3y ago
I do find myself reading papers often for my work, and I share the once I find interesting or feel might have impact in future of my chosen domain. This is no advertisement, I don't know the authors or anyone related to the paper.
36.
by milliondreams 3y ago
TLDR; 1. InternLM2 is an open-source Large Language Model that has shown improvements over previous models, particularly in long-context modeling. 2. The model uses a unique approach, combining traditional training with Supervised Fine-Tuni
37.
InternLM2(arxiv.org)
136 points by milliondreams 3y ago|24 comments
38.
Adaptive RAG – dynamic retrieval methods adjustment(arxiv.org)
126 points by milliondreams 3y ago|39 comments
39.
by milliondreams 3y ago
Code and Models - https://github.com/dvlab-research/MiniGemini
40.
by milliondreams 3y ago
Project website - https://mini-gemini.github.io/
41.
Mini-Gemini: Mining the Potential of Multi-Modality Vision Language Models(arxiv.org)
83 points by milliondreams 3y ago|7 comments
42.
by milliondreams 3y ago
The paper introduces Mini-Gemini, a framework aimed at enhancing Vision Language Models (VLMs) to close the performance gap with advanced models like GPT-4 and Gemini. It focuses on improving visual tokens resolution, creating high-quality
43.
Mistral 7B v0.2(huggingface.co)
29 points by milliondreams 3y ago|3 comments
44.
AutoBNN: Probabilistic time series forecasting by Google(blog.research.google)
3 points by milliondreams 3y ago|1 comments
45.
by milliondreams 3y ago
"Google Research has released AutoBNN, a new tool for time series forecasting using Bayesian neural networks. It promises better efficiency and model flexibility than traditional methods.
46.
State Space Models(blog.dragonscale.ai)
3 points by milliondreams 3y ago|0 comments
47.
Why LLMs Aren't Enough(blog.dragonscale.ai)
2 points by milliondreams 3y ago|1 comments
48.
by milliondreams 3y ago
What do you think about future of AI Agents and LLMs?
49.
Rustic UI: Crafting the Future of UX(blog.dragonscale.ai)
33 points by milliondreams 3y ago|22 comments
50.
by milliondreams 3y ago
This is a very wrong step by Indian govt. It is going back to the era known in India as license-raj. It will only restrict innovation and hold Indian users and startups back from leveraging GenAI ecosystem.
51.
by milliondreams 3y ago
That is a very interesting challenge and even more intriguing example. I have seen many cases, where people have been using ChatGPT for certain tasks, where it makes up data (it doesn't have) and users believe it, till someone points t
52.
by milliondreams 3y ago
We covered state space models in a blog post here - https://blog.dragonscale.ai/state-space-models/ It gives overview of Mamba And StrypedHyna.
53.
Ask HN: What is your favorite tool for Open Source Project collaboration?
2 points by milliondreams 3y ago|0 comments
54.
Ask HN: What is your biggest concern with rapid evolution of GenAI?
2 points by milliondreams 3y ago|4 comments
55.
Synthetic Data Almost from Scratch(arxiv.org)
2 points by milliondreams 3y ago|1 comments
56.
by milliondreams 3y ago
An interesting discussion around creating synthetic data with very little starting information. It introduces a smart way to build diverse datasets using something called taxonomies. This approach is intriguing and points towards new direct
57.
by milliondreams 3y ago
LLMs, including GPT-4, excel in identifying patterns and predicting words based on vast data analysis, but they struggle with reasoning because this requires a level of understanding beyond mere statistics. True comprehension involves grasp
58.
Generative AI and the big buzz about small language models(the-decoder.com)
13 points by milliondreams 3y ago|5 comments
59.
by milliondreams 3y ago
As we see these systems evolving, I have come to believe specialist small language models with an MoE framework are the future of the industry.
60.
by milliondreams 3y ago
I used it today for the first time in Vancouver and it is mind blowing There is no scanning, just put your clothes in the basket, confirm the purchase list and pay. The key to this being possible is the price of RFID tags, as the article m

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