Recent Posts
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[[ Read more ]] · 9 minute read
How to supercharge your LLM with Langchain Agents
Tools and toolkits Tools are functions that will perform actions on behalf of the LLM. An agent gets a list of tools for it to use and it will request to use one, several, or none. The Agent Executor will execute the required tools and feed the result back to the Agent. An examp...
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[[ Read more ]] · 8 minute read
Maximizing the Potential of LLMs: Using Vector Databases
What do vector databases do? A vector database stores and indexes vector embeddings. This is useful for fast retrieval of vectors and looking for similar vectors. Similarity search We can find similarity of vectors by calculating a vector's distance to all other vectors. The nea...
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[[ Read more ]] · 22 minute read
Maximizing the Potential of LLMs: A Guide to Prompt Engineering
Language models have rapidly improved in recent years, with large language models (LLMs) such as GPT-3 and GPT-4 taking center stage. These models have become popular due to their ability to perform a great variety of tasks with incredible skill. Also, as the number of parameter...
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[[ Read more ]] · 5 minute read
How to install (and keep) extensions in SageMaker Studio
Enhance the experience of your data scientists with SageMaker Studio extensions
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[[ Read more ]] · 6 minute read
How to disable the download button in SageMaker Studio
If you want to ensure that your data scientists' cloud environment is secure from data leaks, remove this feature from SageMaker
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[[ Read more ]] · 10 minute read
Feature Store - Why do you need one?
How to set up a data architecture that saves your data scientists time and effort.
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[[ Read more ]] · 14 minute read
Bun - What can I use it for?
What is Bun, the new hot thing in the Javascript world? Why is it so fast and can I use it for my projects?