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My tech stack
Here are some of the most common platforms I work with to help clients unlock another level of efficiency when implementing AI-enabled processes across the entire value chain.
Learn MoreHere are some of the most common platforms I work with to help clients unlock another level of efficiency when implementing AI-enabled processes across the entire value chain.
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I have worked across dozens of different platforms, processes, and methodologies throughout my time as an analytics agency owner, founder, start-up executive, and mentor. My expertise is not limited to these platforms, but they are a core part of my current approach to helping organizations achieve greater ROI through machine learning services.
OpenAI's Generative Pre-trained Transformer (GPT) models are state-of-the-art language models known for their ability to generate human-like text. They excel in various natural language processing tasks and power many AI applications. GPT models have evolved through several iterations, with GPT-3 and GPT-4 being the most recent and advanced versions. These models can perform tasks ranging from content creation and language translation to code generation and complex problem-solving. Their versatility and performance have made them a cornerstone in AI research and commercial applications, revolutionizing how we interact with and leverage artificial intelligence.
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LangChain is an open-source framework for developing applications powered by language models. It provides tools for combining LLMs with other sources of computation or knowledge. LangChain offers a modular approach to building AI applications, allowing developers to easily integrate external data sources, implement custom reasoning steps, and create complex workflows. It supports various LLMs and includes features like prompt management, chain of thought reasoning, and agent-based systems. LangChain has quickly become a popular choice for developers looking to build sophisticated AI applications that go beyond simple text generation.
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LangSmith is a platform for developing and deploying LLM-powered applications. It offers tools for prompt engineering, testing, and monitoring to optimize AI model performance. The platform provides a comprehensive environment for the entire lifecycle of LLM applications, from initial development to production deployment. LangSmith includes features for debugging, version control, and performance analysis, making it easier for teams to collaborate and iterate on their AI projects. It's particularly useful for organizations looking to maintain high-quality, reliable AI services at scale.
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Hugging Face is a leading platform for natural language processing, offering a vast repository of pre-trained models, datasets, and tools for machine learning. It's known for its user-friendly interface and strong community support. The platform hosts thousands of models covering various NLP tasks, from text classification to language generation. Hugging Face also provides tools for model training, fine-tuning, and deployment, making it a one-stop shop for many AI developers.
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