GenAI Tech Tip: Enhancing Retrieval-Augmented Generation (RAG) Systems with Stop Words Filtering
In the ever-evolving landscape of Generative AI, it is crucial for our portfolio companies to stay informed about the latest advancements and strategies. Today, we explore the potential benefits of filtering out common words, often called ‘stop words,’ and their impact on Retrieval-Augmented Generation (RAG) systems. Why Remove Stop Words? Stop words, such as articles, […]
GenAI Hack: Harnessing the Power of Agile for GenAI Projects
At Capria, as a venture capital firm at the forefront of applied Generative AI, we not only collaborate with founders on GenAI proof of concept and pilot deployments but also implement our own GenAI tools, including an internal AI chatbot trained on our file system. Over time, the list of founders who want to work […]
Key takeaways from our review of GenAI tool: Speechify – The Text-to-Speech Chrome Extension
In an era where multitasking has become the norm, tools that can help manage and streamline the daily deluge of information are now essential more than ever. One such tool, Speechify, is making waves in the world of text-to-speech technology, and for good reason. It promises to turn the laborious task of reading into a […]
The Power of Visual Data with ChatGPT Vision
In the fast-paced world of tech entrepreneurship and investment, harnessing and making sense of vast datasets is essential. Consider the wealth of valuable information hidden in images from social media, infographics embedded within articles, or tables buried in PDFs and scanned documents. Extracting and structuring this data manually is not only tedious but often error-prone. […]
Tech Learning: Unleash Consistency with ChatGPT’s Function Calling
In the ever-evolving landscape of Generative AI, staying ahead of the curve is essential. ChatGPT’s “function calling” feature offers a remarkable alternative to fine-tuning, delivering consistent results without extensive training. Here’s a comprehensive breakdown of its capabilities: Function Definition and Invocation: ChatGPT enables users to define and invoke functions, enriching interactions between models and external […]
GenAI Hack: Leveraging AI for Operational Efficiency: Capria’s Case Study
In today’s fast-paced venture capital landscape, efficiency and collaboration are paramount. Capria, a global venture capital firm with a presence in seven countries, five funds, and a rapidly expanding portfolio, recognizes that leveraging AI is the key to streamlining its operations. The endgame? To free up valuable time and resources that can be dedicated to founders […]
Key takeaways from our review of GenAI tool: Unleashing AI Integration with Microsoft’s Semantic Kernel
In the ever-evolving landscape of Generative AI, staying at the forefront of the latest tools and technologies is crucial. Today, we’d like to introduce you to Microsoft’s Semantic Kernel – a remarkable tool that bridges the gap between traditional programming and modern AI capabilities. This open-source Software Development Kit (SDK) facilitates the integration of AI services, including […]
Tech Tip: Building Voice AI Systems Closer to the Human Experience
In the realm of artificial intelligence, the journey towards achieving human-like text generation has taken significant strides with powerful language models such as GPT-4. However, bridging the gap between AI-generated text and the truly human experience of conversation, which includes voice modulation and spontaneity, remains an ongoing challenge. This tech tip aims to provide insights […]
GenAI Tip: Empowering Your Team in the World of Generative AI
The internet is flooded with a plethora of training materials, webinars, and news updates on Generative AI. While this wealth of resources is exciting, it can also overwhelm individuals. At Capria, we understand this challenge and have devised a custom GenAI curriculum to help our team and portfolio companies navigate this dynamic landscape effectively. 1. […]
Dynamic Chunking in Vector Augmented Search: A Deep Dive into Vectara’s Approach
In the realm of Retrieval-Augmented Generation (RAG), the size of data chunks is a critical factor. RAG functions by dividing vast datasets into manageable “chunks” for analysis and retrieval. Traditional models often rely on static chunking, where data is divided based on predetermined parameters. However, what if chunking was performed dynamically, responding in real time […]