![]() "Nearly eight years into our journey as an AI-first company, the pace of progress is only accelerating: Millions of people are now using generative AI across our products to do things they couldn't even a year ago, from finding answers to more complex questions to using new tools to collaborate and create," he said." Under CEO Sundar Pichai, the search giant has reoriented itself as "an AI-first company" and is now scrambling to commercialize its efforts and remain competitive with the new wave of AI startups. ![]() Still, Google is investing heavily in the technology. "LLMs also struggle with tasks requiring high-level reasoning abilities like causal understanding, logical deduction, and counterfactual reasoning even though they achieve impressive performance on exam benchmarks." There is a continued need for ongoing research and development on 'hallucinations' generated by LLMs to ensure that model outputs are more reliable and verifiable," the Gemini team warned. "Despite their impressive capabilities, we should note that there are limitations to the use of LLMs. Gemini still has the same limitations as all large language models (LLMs) in generating factually incorrect information, a process known as hallucination. These benchmark results, however, should be taken with a grain of salt.Īlthough AI technologies are improving, they aren't perfect and their behaviors are unpredictable. Gemini Ultra performed better than GPT-4, Claude, Grok-1, and Llama-2 for eight out of ten tasks, whereas Gemini Pro surpassed GPT-3.5 and all the other models in seven out of nine tasks. The short answer is: Gemini Pro seems to be a bit better than GPT-3.5, whereas Gemini Ultra is a bit better than GPT-4, according to some benchmark tests Google released. So how does it compare to OpenAI's models? Gemini is Google's push to stay competitive. Now, the latest ChatGPT and AI Bing versions powered by GPT-4 can also process images too. OpenAI launched its viral web app ChatGPT a year ago and helped Microsoft release its own AI Bing chatbot shortly afterwards, leaving Google to play catchup. Google has come under fire for being slow to ship AI products despite being a leader in the technology's research and development. Vendors looking to build specialized AI tools powered by Gemini for specific applications, like those working in the legal, HR, medical, or finance industries, for example, will be able to access Gemini Pro as an API in the Google AI Studio or Google Cloud Vertex AI platforms from 13 December. The Chocolate Factory plans to make Gemini Ultra available next year, and will start experimenting with the model's capabilities with select customers and developers before it launches its Bard Advanced chatbot. "We're currently completing extensive trust and safety checks, including red-teaming by trusted external parties, and further refining the model using fine-tuning and reinforcement learning from human feedback before making it broadly available," Google explained. Unfortunately, those waiting to test out Gemini Ultra will have to wait a little longer. Google DeepMind's GraphCast AI weather predictor looks fascinating on paper but.Wish you could sing like Charli XCX or possess any musical talent? YouTube AI might make that happen.AI offers some novel crystal materials that could form future chips, batteries, more.Google unveils TPU v5p pods to accelerate AI training.AICore runs on Android 14 and gives developers access to the model via open-source APIs, and will handle things like runtimes and safety.
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