cobusgreyling

6 ms·

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by cobusgreyling 2y ago
There’s been a lot of speculation about the future of AI Agents & agentic applications, much of it vague or overly optimistic. After doing my own research and prototyping, I’ve found one way to avoid falling into the trap of false forec
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The Shifting Vocabulary of AI(blog.kore.ai)
1 points by cobusgreyling 2y ago|0 comments
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by cobusgreyling 2y ago
The Shift From Large Language Models to Smaller, Vision-Enhanced Models & The Rise of AI Agents— Version 6 In recent developments within AI research, the focus has gradually shifted from reliance on Large Language Models (LLMs) to more
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by cobusgreyling 2y ago
AI Agents are agentic software applications which primarily live within a digital environment. Agentic applications are premised on basic LLM related skills like decomposing a problem into smaller sub-tasks, and leveraging reasoning to move
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by cobusgreyling 2y ago
Balancing Latency, Interpretability, and Consistency in Hallucination Detection for Conversational AI If you find any of my observations to be inaccurate, please feel free to let me know… I appreciate that this study focuses on introducing
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by cobusgreyling 2y ago
What I love about a two-by-two matrix is that it provides a clear, structured way to visualise and analyse complex relationships between two sets of variables or factors. Considering Language Models & Conversational AI, by breaking down
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by cobusgreyling 2y ago
Applications based on LLMs are evolving & the next step in this progression of AI Agents are Agentic Applications. Agentic applications still have a Foundation Model as their backbone, but have more agency. Agentic applications are AI-d
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by cobusgreyling 2y ago
A manual analysis was conducted on 2,364 sampled questions, leading to the development of a taxonomy of challenges that includes 27 distinct categories, such as: - Prompt Design, - Integration with Custom Applications, and - Token Limitatio
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by cobusgreyling 2y ago
The reason OpenAI bought Rockset is to enhance their retrieval infrastructure, and move closer to the implementation side of Generative AI. With more models being open-source, and the focus small language modes which many are open-sourced,
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by cobusgreyling 2y ago
AI agents capable of navigating screens within the context of an operating system, particularly in web browsers and mobile iOS environments. As I’ve discussed, the architecture and implementation of text-based AI agents (Agentic Application
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by cobusgreyling 2y ago
Also known as graph data, defined by nodes and edges, this concept is becoming increasingly relevant in the context of Agentic Applications, also referred to as AI Agents. Traditionally, people approach development through no-code, low-code
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by cobusgreyling 2y ago
I have seen some comments on the web as to why someone would fine-tuning the new Small Language Model from OpenAI. I guess the biggest reason for someone to do this is if their organisation is already a corporate type user of OpenAI. But, I
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Fine-Tuning OpenAI's Small Language Model(cobusgreyling.medium.com)
3 points by cobusgreyling 2y ago|1 comments
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by cobusgreyling 3y ago
Read more here on ChainForge and the updates they have made. https://cobusgreyling.medium.com/significant-updates-where-m...
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ChatGPT Custom Instructions(cobusgreyling.medium.com)
1 points by cobusgreyling 3y ago|1 comments
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by cobusgreyling 3y ago
By asking GPT-4 to generated a response in the same way the new feature called Custom Instructions does, improves the generated output considerably. The ChatGPT interface does have an advantage in the form of: - Simplification - An intuitiv
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Vercel Launched a Comprehensive LLM Playground(cobusgreyling.medium.com)
1 points by cobusgreyling 3y ago|0 comments
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A Hands-On Analysis of the LLM Tooling Landscape (Part 1)(cobusgreyling.medium.com)
1 points by cobusgreyling 3y ago|0 comments
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by cobusgreyling 4y ago
There has been renewed focus on expediting chatbot development. Attempts to fast-track conversational AI development has included bootstrapping using LLM’s, QnA, Search, Knowledge Bases, etc. This article looks at how conversational Respons