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Our collaboration has been instrumental in advancing critical aspects of our projects. From significantly enhancing model evaluations through thorough cleanup efforts and intelligent error recovery, to swiftly generating crucial RLHF data that rectified model behaviors, we've achieved substantial improvements.
Enhancing Google Gemini with reasoning and coding capabilities
See how high-quality supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF) for proprietary datasets brought new advancements to one of the largest and most capable AI models.
Leading enterprises, start-ups, and more have trusted Turing
Partners In AI-powered, human-led innovation
The Gemini team and Turing’s partnership has expanded Gemini’s cognitive range, advancing essential capabilities for complex, adaptable, and precise AI models.
Turing’s expertise in multimodality, agentic workflows, STEM problem-solving, and reasoning elevates LLM performance, targeting core challenges researchers face with flexibility and depth. Our leadership in ML, NLP, and LLMs allows us to simplify complex tasks, propose new ones, and continuously push the boundaries of AI.
Multimodality
Enable your model to seamlessly integrate and process text, images, code, and other data formats to support richer interactions. By incorporating multimodal datasets, Turing helps Gemini generate insights from diverse data types, improving accuracy and contextual understanding.
Agentic Workflows
Build autonomous, decision-making workflows that empower LLMs to respond in real-time across complex, multi-step tasks. Turing develops agentic capabilities to enhance model adaptability, allowing Gemini to perform self-driven adjustments and efficient problem-solving under varying contexts.
STEM (Math & Non-Math)
Enhance your model’s proficiency in STEM subjects, including mathematical problem-solving and scientific reasoning. Turing’s targeted training enables models to tackle physics equations, complex computations, and non-mathematical STEM tasks, broadening Gemini’s analytical strengths in diverse fields.
Reasoning
Refine models to execute high-order reasoning, including abstract and logical tasks that require multiple steps. Turing’s focus on reasoning helps reduce hallucinations and enables LLMs to perform chain-of-thought and programmatic reasoning, improving accuracy and depth in complex problem-solving.
Chain of Thought
Develop structured, sequential reasoning processes to break down complex problems and improve interpretability. With Turing’s expertise, models gain the ability to construct and follow logical paths, helping users trace back decision-making steps and ensuring coherent outputs in multifaceted tasks.
Coding
Elevate coding abilities by training models to interpret, debug, and generate code with precision. Turing’s customized datasets and methodologies ensure Gemini can tackle everything from code explanation and problem-solving to DevOps, database management, and cloud integration challenges.
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Featured Resources
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Enhance your LLM with unmatched precision, stay ahead of the competition
Curate high-quality training data, employ RLHF for superior performance, and integrate cutting-edge technologies like multimodal systems and intelligent agents to transform your foundational model’s capabilities.
Senior Staff Software Engineer
Research Head leading Implicit Code Execution
@ Gemini
