#machine-learning-models

#machine-learning-models

Utilizing ChatGPT for coding tasks can yield surprising results, sparking interest in AI-assisted programming.

Not all AI chatbots excel at coding equally; some struggle to produce functional plugins, emphasizing the importance of choosing the right tool.

Transformer networks revolutionized NLP, but simpler models like in txtai can still be effective for semantic search applications.

Slack clarified their AI training process doesn't use customer data outside the platform, aiming to improve product experience without compromising privacy.

ML models at Swiggy contribute to customer experience and business decisions through DSP platform.

DSP system at Swiggy built on Akka with actors for scalability, resiliency, and responsiveness.

Oracle has launched its OCI Generative AI service and introduced new betas to help customers build machine learning models from their own data.

Oracle is trying to ensure that customers do not migrate data from its systems to other cloud providers by providing enhanced retrieval-augmented generation (RAG) techniques and a suite of pre-built generative AI services.

European Union legislators have reached a historic deal on a broad-ranging AI safety development bill after a marathon 72-hour debate.

The proposed regulations would dictate the development and distribution of future machine learning models within the trade bloc, with different categories based on societal risks.

Cloudera acquires Verta to enhance AI capabilities and manage large language models effectively.

Seamless integration of AI software into radiologists' workflow is crucial for success, aiding customer satisfaction and improving machine learning models.