Google Unveils Gemini 1.5: Explore the Bold 1 Million Token Context Feature
Google Launches Gemini 1.5 with ‘Experimental’ 1M Token Context
Google has introduced its newest AI model, Gemini 1.5, boasting an “experimental” one million token context window. This groundbreaking feature enables Gemini 1.5 to process lengthy text passages—up to one million characters—allowing it to grasp context and meaning more effectively than previous systems, such as Claude 2.1 and GPT-4 Turbo, which are limited to 200,000 and 128,000 tokens, respectively.
According to a technical paper by Google researchers, “Gemini 1.5 Pro achieves near-perfect recall on long-context retrieval tasks across various modalities and surpasses the state-of-the-art performances in long-document QA, long-video QA, and long-context ASR.” The model excels in comparison to Gemini 1.0 Ultra across multiple benchmarks.
The efficiency of Gemini 1.5 is attributed to its innovative Mixture-of-Experts (MoE) architecture. Demis Hassabis, CEO of Google DeepMind, explained, “While a traditional Transformer operates as a single large neural network, MoE models are structured into smaller, specialized ‘expert’ networks.” This allows the model to activate only the most relevant pathways based on the type of input, significantly enhancing its efficiency.
To illustrate the capabilities of the one million token context window, Google demonstrated that Gemini 1.5 could not only ingest the entire Apollo 11 flight transcript, comprising 326,914 tokens, but also accurately respond to specific inquiries regarding it. Additionally, it successfully summarized key points from a silent film with 684,000 tokens when prompted.
Initially, Google is offering developers and enterprises free access to a limited preview of Gemini 1.5, featuring the one million token context window. A broader public release, which will include a 128,000-token version along with pricing details, is set to follow.
In a recent announcement, Sundar Pichai stated, “Today, we’re introducing Gemini 1.5 Pro! This next-gen model harnesses a Mixture-of-Experts approach for more efficient training and higher-quality responses.” For now, the one million token capability is still in the experimental phase, but if it meets expectations, it could redefine AI’s capacity to comprehend intricate, real-world texts.
Developers eager to experiment with Gemini 1.5 Pro can sign up at AI Studio, while enterprise customers should contact their Vertex AI account team.
(Image Credit: Google)
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