From Pixels to Production: Introducing Tabnine’s Image as Context
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Thought Leadership | Page 2

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AI coding agents level up from helpers to team players
December 26, 2024
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4 -min read
Coding agents are taking on tasks such as intelligent code generation, code repair, test generation, code reviews, and real-time optimization.
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ChatGPT vs. Tabnine: Why AI code assistants are so much more than LLMs 
December 10, 2024
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8 -min read
Here are five reasons you should you choose a dedicated AI code assistant like Tabnine over a large language model (LLM) like ChatGPT.
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How Tabnine adapts to your organization
December 5, 2024
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9 -min read
Explore how Tabnine goes beyond universal models to deliver precise, context-aware coding assistance, enhancing developer productivity and efficiency.
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AI technology: Powering the AI revolution
November 7, 2024
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33 -min read
AI technology can perform many functions that previously could only be performed by humans — including speech recognition, natural language processing, and computer vision.
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Real-world machine learning: Models, use cases, and operations
November 7, 2024
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30 -min read
Machine learning systems learn through an iterative process, using their training data to build a mathematical model that can make predictions on the data.
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AI coding assistants: 12 do’s and don’ts
September 5, 2024
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4 -min read
AI coding assistants provide value by automating low-level and repetitive tasks such as code completion, generation, understanding, debugging and maintenance.
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Transparency from behind the generative AI curtain
July 18, 2024
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5 -min read
As companies invest more money into developing their flagship foundation models, they are becoming less and less transparent about the massive mountains of data they use to train them.
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SWISCO: Building a modern, reusable codebase with Tabnine
July 9, 2024
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3 -min read
SWISCO is a family-owned company that began as a small repair shop for windows and…
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Getting your org to “Yes!” with AI adoption
June 19, 2024
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5 -min read
Adopting an AI tool requires involving a more diverse set of stakeholders — and involving them more deeply — than you’ve ever had to in previous technical initiatives.