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20 votes
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Prison inmates in Finland are being employed as data labellers to improve accuracy of AI models
22 votes -
Introducing o1
14 votes -
AI is here. What now?
18 votes -
AI accuses journalist of escaping psych ward, abusing children and widows
29 votes -
AI makes racist judgement calls when asked to evaluate speakers of African American vernacular English
23 votes -
The LLMentalist effect: how chat-based large language models replicate the mechanisms of a psychic's con
29 votes -
Solving a couple of hard problems with an LLM
13 votes -
How are AI and LLMs used in your company (if at all)?
I'm working on an AI chat portal for teams, think Perplexity but trained on a company's knowledgebase (prosgpt dot com for the curious) and i wanted to talk to some people who are successfully...
I'm working on an AI chat portal for teams, think Perplexity but trained on a company's knowledgebase (prosgpt dot com for the curious) and i wanted to talk to some people who are successfully using LLMs in their teams or jobs to improve productivity
Are you using free or paid LLMs? Which ones?
What kind of tasks do you get an LLM to do for you?
What is the workflow for accomplishing those tasks?
Cheers,
nmn12 votes -
"Mechanistic interpretability" for LLMs, explained
6 votes -
Vibe Check - Let AI find you the best things
30 votes -
Researchers describe how to tell if ChatGPT is confabulating
24 votes -
Detecting hallucinations in large language models using semantic entropy
17 votes -
I will fucking piledrive you if you mention AI again
119 votes -
Experiences using a local voice assistant with LLM with HomeAssistant?
Has anyone out there hooked HomeAssistant up to a local LLM? I'm very tempted: Alexa integrations fail often. HomeAssistant integrations tend to be rock solid. Alexa is rule/pattern matching...
Has anyone out there hooked HomeAssistant up to a local LLM? I'm very tempted:
- Alexa integrations fail often. HomeAssistant integrations tend to be rock solid.
- Alexa is rule/pattern matching based. LLMs can understand natural language fairly well. The "magical incantations" required by Alexa are awkward.
Other than the software, the device side seems challenging. There are $50 fully-baked POP devices. I'm less sure on the DIY front.
Also, I desperately want my house to speak to me in the voice of the NCC-1701D computer. I've read enough now to know this should be achievable with a modicum of effort via OSS voice cloning tools or training a new model (same difference except "voice cloning" seems to often refer to doing this without training a whole new model?).
Thoughts? Experiences?
I've seen several pages that have led me to conclude this is tenable:
https://github.com/myshell-ai/OpenVoice
https://github.com/domesticatedviking/TextyMcSpeechy
https://github.com/mezbaul-h/june
https://www.home-assistant.io/voice_control/voice_remote_local_assistant/
14 votes -
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B
9 votes -
CodeAid: A classroom deployment of an LLM-based programming assistant
6 votes -
"Badness 0", a suckerpinch/tom7 video dive into typesetting, LLMs, and Donald Knuth
29 votes -
How it feels to get an AI email from a friend
56 votes -
HeavyIQ: Understanding 220M Flights with AI
2 votes -
How much research is being written by large language models?
14 votes -
Slop is the new name for unwanted AI-generated content
52 votes -
Hallucination-free RAG: Making LLMs safe for healthcare
12 votes -
Stack Overflow and OpenAI partner to strengthen the world’s most popular large language models
21 votes -
React, Electron, and LLMs have a common purpose: the labour arbitrage theory of dev tool popularity
31 votes -
Meet Llama 3
17 votes -
When provided with CVE descriptions of 15 different vulnerabilities and a set of tools useful for exploitation, GPT-4 was capable of autonomously exploiting 13 of which, yielding an 87% success rate
17 votes -
Why large language models like ChatGPT treat Black- and White-sounding names differently
10 votes -
AI assists clinicians in responding to patient messages at Stanford Medicine
4 votes -
Have we reached peak AI?
24 votes -
AI models found to show language bias by recommending Black defendents be 'sentenced to death'
28 votes -
You can now train a 70b language model at home (if you have a dual-3090 or better)
11 votes -
Research paper compares LLM responses based on politeness of requests and finds quality difference
28 votes -
Generative AI - We aren’t ready
27 votes -
How Quora died - The site used to be a thriving community that worked to answer our most specific questions. But users are fleeing.
37 votes -
Popular AI chatbots found to give error-ridden legal answers
19 votes -
Stuff we figured out about AI in 2023
27 votes -
On GitHub Copilot
23 votes -
Google's VideoPoet: A large language model for zero-shot video generation
16 votes -
The New York Times sues OpenAI, Microsoft over the use of its stories to train chatbots
62 votes -
Scientists explain why ‘doing your own research’ leads to believing conspiracies
42 votes -
Startup Channel 1 creates news service presented by AI
10 votes -
Google announces Gemini model, claims it outperforms GPT-4
43 votes -
Linus Torvalds on the state of Linux today and how AI figures in its future
26 votes -
Q* - Clues to the puzzle?
32 votes -
If you use ChatGPT or other LLM, how do you use it?
I am interested in how people are using ChatGPT, especially in a professional context. Any tips, tricks or pointers? I would appreciate if the discussion didn't revolve around the technology's...
I am interested in how people are using ChatGPT, especially in a professional context. Any tips, tricks or pointers?
I would appreciate if the discussion didn't revolve around the technology's negative aspects or future perspectives.
43 votes -
Boston Dynamics shows off LLM equipped robot
37 votes -
GPT-4 understands
36 votes -
Teaching LLMs to divide and conquer problems with hierarchical question decomposition
8 votes -
How I think about LLM prompt engineering: Prompting as searching through a space of vector programs
11 votes