The demand for high-quality data, essential for powering artificial intelligence (AI) conversational tools like OpenAI’s ChatGPT, may soon outstrip supply and potentially stall AI progress, industry analysts warned. The exponential reliance on comprehensive datasets is a double-edged sword for AI development. While necessary for enhancing the sophistication of models like ChatGPT, the impending data shortage is raising alarms within the tech community. The shortage of AI training data stems from the need for large volumes of high-quality, diverse and accurately labeled data that is representative of the real-world scenarios the model will encounter. Acquiring such data is often a time-consuming task, as it may involve manual annotation by domain experts, collection from a wide range of sources and careful curation to ensure data quality and eliminate biases

Google has introduced Gemma, a series of lightweight, open-source models that analysts say could herald the arrival of a sleeker form of artificial intelligence (AI). The company launched two Gemma versions, Gemma 2B and Gemma 7B. These large language models (LLMs) can adjust to instructions, working on laptops, desktops, or in the Google Cloud. Google reports that Gemma models are efficient for their size, beating bigger models like Meta’s Llama-2 in tests of reasoning, math, and programming skills. “Smaller models are more portable and able to be deployed for a wider scope of use cases, such as remote operations or devices with limited local storage,” Sam Mugel, the CTO of Multiverse Computing, said in an interview. “Reducing the overall size of these models also reduces the energy required to operate them.”

Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More. RelationalAI, a Berkeley, California-based artificial intelligence (AI) startup, announced today the release of a product it’s calling an AI “coprocessor” built for Snowflake, the popular cloud data warehouse provider. The coprocessor integrates relational knowledge graphs and composite AI capabilities into Snowflake’s data management platform. The startup announced its preview availability at Snowflake Summit 2023, an annual user conference.The new offering underscores Snowflake’s push to become an end-to-end platform for enterprise AI and RelationalAI’s vision for an integrated approach to building intelligent applications. “We’re bringing the support for those workloads inside Snowflake,” RelationalAI CEO Molham Aref said in an interview with VentureBeat