Daniel Porras Reyes Daniel Porras Reyes

Tailoring Intelligence Part 2: Model merging

Model merging is the process of combining the weights and layers of different models into a single, unified model without requiring additional training or fine-tuning. By merging models, developers can retain essential knowledge while integrating new information. This technique allows them to leverage the strengths of each individual model.

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Daniel Porras Reyes Daniel Porras Reyes

Flybridge AI Index: May 2024 Update

This month's Flybridge AI Index update includes insights on the AI strategies of NVIDIA, UiPath, C3.ai, Snowflake, and more, along with a look at the index's recent returns and valuation metrics.

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Generative AI, AI, Reinforcement Learning, LLMs Daniel Porras Reyes Generative AI, AI, Reinforcement Learning, LLMs Daniel Porras Reyes

Tailoring Intelligence: Fine-tuning, alignment and model merging (pt 1)

Fine-tuning is a powerful technique for adapting pre-trained models to specific tasks and domains, enabling better performance, cost optimization, and customization. Just as a skilled tailor adjusts a suit to perfectly fit the wearer, fine-tuning allows to adapt AI models to excel at specific tasks and domains.

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Generative AI, Legal Tech Julia Maltby Generative AI, Legal Tech Julia Maltby

Legal AI: 10 Things We Look For

The legal sector's traditional resistance to technology is being overturned by AI's potential to significantly enhance efficiency and client services. Flybridge Principal Julia Maltby highlights the critical attributes of legal AI tools, such as innovative pricing and the ability to unlock new data sets, as key to transforming the industry.

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Chip Hazard Chip Hazard

Everything Everywhere All At Once: There is No Such Thing As An AI Co

Explore the rapid evolution of generative AI, exemplified by ChatGPT, as it reshapes industries with unprecedented speed. The article draws parallels to past tech revolutions, highlighting AI's broad applications and its potential to redefine businesses in a manner reminiscent of the dot com era.

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