Generative AI Solution Center
Resources built from experience
to help inform, plan, and implement your Generative AI solution
Foundational resources to inform your Generative AI solution, including
GenAI fundamentals, technologies, tools and use cases
Understand how and why ChatGPT was a breakthrough for the industry
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LLM fundamentals, use cases, training and fine tuning, few-shot prompting, instruction tuning, GPT, GPT-4 and ChatGPT
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The current landscape and evolution of LLMs including training, decoders, encoders and scaling
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What are the recent improvements in diffusion models including CLIP, DALL·E 2, Imagen, forward and reverse image diffusion
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Learn the LLM technology stack and emerging use cases and plan your own use cases
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Resources to help plan your Generative AI solution implementation including case
studies, data acquisition considerations, model selection and location, data
privacy and safety, assessing feasibility and potential risks, generative AI ROI
What is reinforcement learning, how does it work, and how it’s used in ChatGPT and InstructGPT
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Differences, limitations, and safety issue considerations when deciding whether to use Open AI or Microsoft Azure
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How we built Niffler, our chat-style PDF document exploration tool, including use of Streamlit, creating embeddings, and enhancing security for prompt injection attacks
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A case study for using the TrelBERT model to detect cyberbullying
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We can help develop your GenAI strategy, feasible use cases and plans that meet your goals. Fast!
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Resources on data preparation, model development and deployment,
integration, safety and security
Methods for training on limited hardware including memory-saving techniques and parallelism
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An introduction to the world of diffusion models, including what they are and how they are trained
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Understand the factors to consider in model choice, including similarity assessment, face cropping, face embedding, and aesthetic assessment
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A case-study approach using portrait generation, to understanding fine-tuning, crafting prompts, and evaluating the results
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We can accelerate your AI project implementation, anywhere from experiment through prototype to full solution
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