The first app used the GPT4All Python SDK to create a very simple conversational chatbot running a local instance of a large language model (LLM), which it used in answering general questions. Here’s an example from the webinar: Ask me a question: What were the causes of the First ...
toggle the drop-down in the red box and select Astra db. Then select ‘create database’ on the right in the yellow box. Name the database and select Azure as the provider (please note, this costs a minimal fee to use), select us-east-2 as the region and ...
The above code uses the from_connection_string method with the following arguments to create an instance of MongoDBParentDocumentRetriever: connection_string: Connection string for your MongoDB Atlas cluster. embedding_model: Embedding model for the vector store. This was initialized previously. child...
All you need do is register on the OpenAI platform andcreate a key, like sk-…i7TL. Assemble Your Toy Now it’s time to put all the pieces together and make your own LLM toy. The general steps are as follows, it is recommended to watch the above tutorial first. ...
Bring AI development into your VS Code workflow with the AI Toolkit extension. It empowers you to: Run pre-optimized AI models locally:Get started quickly with models designed for various setups, including Windows 11 running with DirectML acceleration or direct CPU, Linux with NVIDIA GPUs...
Next, we will create a service.py file to define the AI server. Using BentoML commands, we will import the Transformers pipeline, which allows us to load the model and perform inference with just 2 lines of code. We will set up example text inputs and context, configure the BentoML ...
A look at using the open-source Cleanlab package to automatically boost the accuracy of LLMs with a few lines of code.
This guide will explore the Top 10 at a high level and then go deeper into the five risks that intersect with code quality practices. Overview of the OWASP Top 10 for LLMs Let’s review the entire Top 10 to familiarize ourselves with its full scope. ...
For teams building with LLMs, CI can automate the testing of new data sets and model updates, ensuring that updates do not inadvertently introduce biases or degrade the model’s performance. To set up a CI pipeline in CircleCI, you first need to create a config.yml file in a .circleci...
Recently, there has been a growing interest in studying how to construct better code instruction tuning data. However, we observe Code models trained with these datasets exhibit high performance on HumanEval but perform worse on other benchmarks such as LiveCodeBench. Upon further investigation, we...