Have you heard?! Gemini Ultra, Google’s best LLM is now available!
Here’s what you need to know…
You may recall that back in December, Google released Gemini Pro. Gemini Pro is best known for its multi-modal data processing capabilities… It’s about on par with GPT-3.5 in terms of performance though.
The most exciting thing you need to know about Ultra is that it has surpassed OpenAI's GPT-4 on 30 out of 32 widely used academic benchmarks.
But, here we are 2 short months later, and Google’s back - this time with the release of Gemini Ultra. The most exciting thing you need to know about Ultra is that it has surpassed OpenAI's GPT-4 on 30 out of 32 widely used academic benchmarks, which indicates a major performance leap across a wide variety of large language model research and development criteria.
These models offer a new level of AI-powered tools and solutions for complex problem-solving, analysis, and content generation across different modalities. The ability to efficiently run these models on Google's hardware accelerates processing times and reduces costs, making it more feasible to scale AI applications for millions of users.
It’s definitely a development that I believe Convergence members would want and need to know about.
Here’s what you need to know…
You may recall that back in December, Google released Gemini Pro. Gemini Pro is best known for its multi-modal data processing capabilities… It’s about on par with GPT-3.5 in terms of performance though.
The most exciting thing you need to know about Ultra is that it has surpassed OpenAI's GPT-4 on 30 out of 32 widely used academic benchmarks.
But, here we are 2 short months later, and Google’s back - this time with the release of Gemini Ultra. The most exciting thing you need to know about Ultra is that it has surpassed OpenAI's GPT-4 on 30 out of 32 widely used academic benchmarks, which indicates a major performance leap across a wide variety of large language model research and development criteria.
These models offer a new level of AI-powered tools and solutions for complex problem-solving, analysis, and content generation across different modalities. The ability to efficiently run these models on Google's hardware accelerates processing times and reduces costs, making it more feasible to scale AI applications for millions of users.
It’s definitely a development that I believe Convergence members would want and need to know about.
Now if you’re an early-adopter who’s ready to take the bull by the horns and get building with Gemini Ultra, I have some amazing news. We’re offering a free training on Friday (with on-demand replay access) to the first people who sign up here.
More about the Google Ultra Training
Join us Friday at 10 am PT to get started building with Google's groundbreaking LLM - Gemini Ultra
✅ The announcement of Gemini led to a 5% increase in Google shares that day. A 5% increase in Google's (Alphabet Inc.) share price would result in an approximate increase of $83.38 ʙɪʟʟɪᴏɴ in the company's market capitalization, based on the average market cap figure around mid-December 2023.
🗓️ Mark Your Calendar: Tomorrow, Feb 16
🕙 Time: 10:00am–11:00am PST
(replays available to those who sign up now!)
ᴡʜᴇɴ ʏᴏᴜ ᴀᴛᴛᴇɴᴅ ʏᴏᴜ’ʀᴇ ɢᴇᴛᴛɪɴɢ:
🔸 A deep dive into the development complexities and capabilities of Gemini Ultra, Google's latest breakthrough in AI technology.
🔸 A glimpse of how Gemini Ultra is revolutionizing natural language processing, machine learning, and the broader technological landscape.
🔸 A live demo and code-sharing session which will provide a hands-on look at Gemini Ultra's application in software development and content creation.
🔸 An overview of the significant role of LLMs in shaping the future of technology and other industries.
Warm Regards,
Lillian Pierson
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