Remove 2023 Remove APIs Remove Scripts
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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning

Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.

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Revolutionizing large language model training with Arcee and AWS Trainium

AWS Machine Learning

Dataset collection We followed the methodology outlined in the PMC-Llama paper [6] to assemble our dataset, which includes PubMed papers sourced from the Semantic Scholar API and various medical texts cited within the paper, culminating in a comprehensive collection of 88 billion tokens. arXiv preprint arXiv:2308.04014 (2023).

APIs 110
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Open source observability for AWS Inferentia nodes within Amazon EKS clusters

AWS Machine Learning

companion script (both commands are part of the container): neuron-monitor | neuron-monitor-prometheus.py --port The command uses the following components: neuron-monitor collects metrics and stats from the Neuron applications running on the system and streams the collected data to stdout in JSON format neuron-monitor-prometheus.py

APIs 106
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Drive hyper-personalized customer experiences with Amazon Personalize and generative AI

AWS Machine Learning

Gartner predicts that “by 2026, more than 80% of enterprises will have used generative AI APIs or models, or deployed generative AI-enabled applications in production environments, up from less than 5% in 2023.” However, scripting appealing subject lines can often be tedious and time-consuming.

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8 Best Online Coding Courses

JivoChat

The course 100 Days of Code: The Complete Python Pro Bootcamp for 2023 has the purpose to help you master the Python programming language. Python Scripting and Automation. The Complete Web Developer in 2023. RESTful API Design. Frameworks and APIs. 100 Days of Code. You will develop 100 projects in 100 days.

APIs 75
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Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation

AWS Machine Learning

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. To retrieve your Pinecone keys, open the Pinecone console and choose API Keys. Python 3.10

APIs 106
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Optimize AWS Inferentia utilization with FastAPI and PyTorch models on Amazon EC2 Inf1 & Inf2 instances

AWS Machine Learning

If the model changes on the server side, the client has to know and change its API call to the new endpoint accordingly. If you’re using a different AMI (Amazon Linux 2023, Base Ubuntu etc.), script in the fastapi and trace-model folders use this to create Docker images. install the CLI tools by following this guide.

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