{"id":488985,"date":"2023-04-25T14:14:45","date_gmt":"2023-04-25T12:14:45","guid":{"rendered":"https:\/\/mybroadband.co.za\/news\/?p=488985"},"modified":"2023-04-25T15:49:53","modified_gmt":"2023-04-25T13:49:53","slug":"stability-ai-launches-open-source-chatgpt-rival","status":"publish","type":"post","link":"https:\/\/mybroadband.co.za\/news\/software\/488985-stability-ai-launches-open-source-chatgpt-rival.html","title":{"rendered":"Stability AI launches open-source ChatGPT rival"},"content":{"rendered":"

Artificial intelligence startup Stability AI recently launched StableLM<\/strong><\/a>, its first open-source language model.<\/p>\n

Stability AI is the company behind the image generation model Stable Diffusion, whit it released last year.<\/p>\n

The company said the suite of StableLM language models could generate text and code for powering a range of downstream applications.<\/p>\n

“They demonstrate how small and efficient models can deliver high performance with appropriate training,” Stability AI said.<\/p>\n

StableLM is trained on a new experimental dataset built on The Pile,\u00a0which consists of Internet-scraped text from websites such as Wikipedia, PubMed, and StackExchange.<\/p>\n

However, Stability AI has roughly tripled The Pile to 1.5 trillion tokens of content.<\/p>\n

It said the richness of the expanded dataset offered “surprisingly” high performance in conversational and coding tasks, despite its small size of 3\u20137 billion parameters.<\/p>\n

For reference, OpenAI’s GPT-3 language model has 175 billion parameters, making it much more performance-intensive.<\/p>\n

Stability AI plans to roll out models with 15 billion and 65 billion parameters.<\/p>\n

The screenshots below show examples of responses given by the current release of the StableLM language model.<\/p>\n

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Some have warned that companies invested in such models could tweak code with an inherent bias to help boost their profits.<\/p>\n

Tech billionaire Elon Musk is among several big names interested in AI development who are concerned about the impact of generative AI models developed behind closed doors.<\/p>\n

Stability AI said its release of StableLM demonstrated a commitment to transparent AI technology.<\/p>\n

“Researchers can ‘look under the hood’ to verify performance, work on interpretability techniques, identify potential risks, and help develop safeguards,” Stability AI said.<\/p>\n

“Organizations across the public and private sectors can adapt these open-source models for their own applications without sharing their sensitive data or giving up control of their AI capabilities.”<\/p>\n

In addition to making the model more transparent, StableLM was designed to be broadly accessible and run locally, instead of relying on powerful hardware in a data centre acting as the model’s brains.<\/p>\n

“Using these models, developers can build independent applications compatible with widely-available hardware instead of relying on proprietary services from one or two companies,” said Stability AI.<\/p>\n

“In this way, the economic benefits of AI are shared by a broad community of users and developers.”<\/p>\n

“Open, 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.”<\/p>\n

Finally, Stability AI hopes to be supportive of users rather than replacing them, like some experts believe AI will do.<\/p>\n

“We are focused on efficient, specialized, and practical AI performance \u2014 not a quest for god-like intelligence.”<\/p>\n

“We develop tools that help everyday people and everyday firms use AI to unlock creativity, boost their productivity, and open up new economic opportunities.”<\/p>\n

For developers who want to give it a test run, StableLM’s code is available in a GitHub repository<\/strong><\/a> that was uploaded last week.<\/p>\n

\n

Now read: Real-world study shows generative AI tools made workers 14% more productive<\/a><\/h3>\n","protected":false},"excerpt":{"rendered":"

StableLM is trained on a new experimental dataset built on The Pile,\u00a0which consists of Internet-scraped text from websites such as Wikipedia, PubMed, and StackExchange.<\/p>\n","protected":false},"author":341042,"featured_media":489009,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[83065,45266,85253,83445,85797],"class_list":["post-488985","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-software","tag-chatgpt","tag-openai","tag-stability-ai","tag-stable-diffusion","tag-stablelm"],"_links":{"self":[{"href":"https:\/\/mybroadband.co.za\/news\/wp-json\/wp\/v2\/posts\/488985"}],"collection":[{"href":"https:\/\/mybroadband.co.za\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mybroadband.co.za\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mybroadband.co.za\/news\/wp-json\/wp\/v2\/users\/341042"}],"replies":[{"embeddable":true,"href":"https:\/\/mybroadband.co.za\/news\/wp-json\/wp\/v2\/comments?post=488985"}],"version-history":[{"count":1,"href":"https:\/\/mybroadband.co.za\/news\/wp-json\/wp\/v2\/posts\/488985\/revisions"}],"predecessor-version":[{"id":489027,"href":"https:\/\/mybroadband.co.za\/news\/wp-json\/wp\/v2\/posts\/488985\/revisions\/489027"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mybroadband.co.za\/news\/wp-json\/wp\/v2\/media\/489009"}],"wp:attachment":[{"href":"https:\/\/mybroadband.co.za\/news\/wp-json\/wp\/v2\/media?parent=488985"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mybroadband.co.za\/news\/wp-json\/wp\/v2\/categories?post=488985"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mybroadband.co.za\/news\/wp-json\/wp\/v2\/tags?post=488985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}