At UC Berkeley researchers investigated the moral and legal implications of ChatGPT, a language model by OpenAI. Chang, Cramer, Son, and Bamman in their paper "Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4" highlighted the potential bias caused by copyrighted material used in the training process. They recommend full disclosure of the books used to eliminate hidden bias and the use of open models. They also point to the legal challenges of copyright protections.
. Recent research reveals AI models ChatGPT and GPT-4 have memorised details from copyrighted books. Questions arise over the legality of creating large language models (LLMs) trained on huge amounts of data. UC Berkeley's David Bamman and his team tested these AIs to see if they could tell copyrighted vs less-known books apart. Results suppoet these models had indeed been trained on copyrighted books, highlighting a breakthrough in artificial intelligence technologies but also posing serious copyright issues. OpenAI and its CEO Sam Altman believe AI can benefit humanity.
Arize AI has released their open source library, Phoenix, designed to quickly monitor language models for any level of hallucination. Embeddings and clustering create visualizations to help users troubleshoot models and improve performance. Users can now leverage the library for their applications such as healthcare chatbots, legal advice, and more. Try Phoenix for free and get great results today!
UC Berkeley alum John Schulman, a lead developer of ChatGPT, took to a public lecture hosted by the University to discuss the producing of inaccurate statements by the AI language model. Learn how Schulman proposed reinforcement learning as a solution to provide AI models with an ability to recognize knowledge gaps and answer questions more accurately.
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Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?