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{"id":29510,"date":"2023-04-19T21:52:41","date_gmt":"2023-04-19T21:52:41","guid":{"rendered":"https:\/\/scienceandnerds.com\/2023\/04\/19\/stability-ai-releases-chatgpt-like-language-models\/"},"modified":"2023-04-19T21:52:42","modified_gmt":"2023-04-19T21:52:42","slug":"stability-ai-releases-chatgpt-like-language-models","status":"publish","type":"post","link":"https:\/\/scienceandnerds.com\/2023\/04\/19\/stability-ai-releases-chatgpt-like-language-models\/","title":{"rendered":"Stability AI releases ChatGPT-like language models"},"content":{"rendered":"

Source:https:\/\/techcrunch.com\/2023\/04\/19\/stability-ai-releases-chatgpt-like-language-models\/<\/a><\/br>
\nStability AI releases ChatGPT-like language models<\/br>
\n2023-04-19 21:52:41<\/br><\/p>\n

\n

Stability AI<\/a>, the startup behind the generative AI art tool Stable Diffusion<\/a>, today open sourced a suite of text-generating AI models intended to go head to head with systems like OpenAI\u2019s GPT-4<\/a>.<\/p>\n

Called StableLM and available in \u201calpha\u201d on GitHub and Hugging Face<\/a>, a platform for hosting AI models and code, Stability AI says that the models can generate both code and text and \u201cdemonstrate how small and efficient models can deliver high performance with appropriate training.\u201d<\/p>\n

\u201cLanguage models will form the backbone of our digital economy, and we want everyone to have a voice in their design,\u201d the Stability AI team wrote in a blog post<\/a> on the company\u2019s site.<\/p>\n

The models were trained on a dataset called The Pile, a mix of internet-scraped text samples from websites including PubMed, StackExchange and Wikipedia. But Stability AI claims it created a custom training set that expands the size of the standard Pile by 3x.<\/p>\n

\"Stability<\/p>\n

Image Credits:<\/strong> Stability AI<\/p>\n<\/div>\n

Stability AI didn\u2019t say in the blog post whether the StableLM models suffer from the same limitations as others, namely a tendency to generate toxic responses to certain prompts and hallucinate (i.e. make up) facts. But given that The Pile contains profane, lewd and otherwise fairly abrasive language, it wouldn\u2019t be surprising if that were the case.<\/p>\n

This reporter tried to test the models on Hugging Face, which provides a front end to run them without having to configure the code from scratch. Unfortunately, I got an \u201cat capacity\u201d error every time, which might have to do with the size of the models \u2014 or their popularity.<\/p>\n

\u201cAs is typical for any pretrained large language model without additional fine-tuning and reinforcement learning, the responses a user gets might be of varying quality and might potentially include offensive language and views,\u201d Stability AI wrote in the repo for StableLM. \u201cThis is expected to be improved with scale, better data, community feedback and optimization.\u201d<\/p>\n

Still, the StableLM models seem fairly capable in terms of what they can accomplish \u2014 particularly the fine-tuned versions included in the alpha release. Tuned using a Stanford-developed technique called Alpaca on open source datasets, including from AI startup Anthropic<\/a>, the fine-tuned StableLM models behave like ChatGPT<\/a>, responding to instructions (sometimes with humor) such as \u201cwrite a cover letter for a software developer\u201d or \u201cwrite lyrics for an epic rap battle song.\u201d<\/p>\n

The number of open source text-generating models grows practically by the day, as companies large and small vie for visibility in the increasingly lucrative generative AI space. Over the past year, Meta, Nvidia and independent groups like the Hugging Face-backed BigScience<\/a> project have released models roughly on par with \u201cprivate,\u201d available-through-an-API models such as GPT-4 and Anthropic\u2019s Claude<\/a>.<\/p>\n

Some researchers have criticized the release of open source models along the lines of StableLM in the past, arguing that they could be used for unsavory purposes like creating phishing emails or aiding malware attacks. But Stability AI argues that open-sourcing is in fact the right approach, in fact.<\/p>\n

\u201cWe open-source our models to promote transparency and foster trust. Researchers can \u2018look under the hood\u2019 to verify performance, work on interpretability techniques, identify potential risks and help develop safeguards,\u201d Stability AI wrote in the blog post. \u201cOpen, fine-grained access to our models allows the broad research and academic community to develop interpretability and safety techniques beyond what is possible with closed models.\u201d<\/p>\n

\"Stability<\/p>\n

Image Credits:<\/strong> Stability AI<\/p>\n<\/div>\n

There might be some truth to that. Even gatekept, commercialized models like GPT-4, which have filters and human moderation teams in place, have been shown to spout toxicity<\/a>. Then again, open source models take more effort to tweak and fix on the back end \u2014 particularly if developers don\u2019t keep up with the latest updates.<\/p>\n

In any case, Stability AI hasn\u2019t shied away from controversy, historically.<\/p>\n

The company is in the crosshairs of legal<\/a> cases<\/a> that allege that it infringed on the rights of millions of artists by developing AI art tools using web-scraped, copyrighted images. And a few communities around the web have tapped Stability\u2019s tools to generate pornographic celebrity deepfakes<\/a> and graphic depictions of violence.<\/p>\n

Moreover, despite the philanthropic tone of its blog post, <\/span>Stability AI is also under pressure to monetize its sprawling efforts \u2014 which run the gamut from art and animation to biomed and generative audio. Stability AI CEO Emad Mostaque has <\/span>hinted<\/a>\u00a0at plans to IPO, but Semafor recently\u00a0<\/span>reported<\/a> that Stability AI \u2014 which raised over $100 million in venture capital last October at a reported valuation of more than $1 billion \u2014 \u201cis burning through cash and has been slow to generate revenue.\u201d<\/span><\/p>\n<\/p><\/div>\n

<\/br><\/br><\/br><\/p>\n

Science, Tech, Technology<\/br>
\n<\/br>
\nSource:
https:\/\/techcrunch.com\/2023\/04\/19\/stability-ai-releases-chatgpt-like-language-models\/<\/a><\/br><\/br><\/p>\n","protected":false},"excerpt":{"rendered":"

Source:https:\/\/techcrunch.com\/2023\/04\/19\/stability-ai-releases-chatgpt-like-language-models\/ Stability AI releases ChatGPT-like language models 2023-04-19 21:52:41 Stability AI, the startup behind the generative AI art tool Stable Diffusion, today open sourced a suite of text-generating AI models intended to go head to head with systems like OpenAI\u2019s GPT-4. Called StableLM and available in \u201calpha\u201d on GitHub and Hugging Face, a platform for […]<\/p>\n","protected":false},"author":1,"featured_media":29511,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"pagelayer_contact_templates":[],"_pagelayer_content":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[26,17,8],"tags":[],"class_list":["post-29510","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-science","category-tech","category-technology"],"yoast_head":"\nStability AI releases ChatGPT-like language models - Science and Nerds<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/scienceandnerds.com\/2023\/04\/19\/stability-ai-releases-chatgpt-like-language-models\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Stability AI releases ChatGPT-like language models - Science and Nerds\" \/>\n<meta property=\"og:description\" content=\"Source:https:\/\/techcrunch.com\/2023\/04\/19\/stability-ai-releases-chatgpt-like-language-models\/ Stability AI releases ChatGPT-like language models 2023-04-19 21:52:41 Stability AI, the startup behind the generative AI art tool Stable Diffusion, today open sourced a suite of text-generating AI models intended to go head to head with systems like OpenAI\u2019s GPT-4. 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