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A guide to Amazon Bedrock Model Distillation (preview)

AWS Machine Learning

In a production environment, you continue to use the existing Amazon Bedrock Inference APIs, such as the InvokeModel or Converse API, and turn on invocation logs that store model input data (prompts) and model output data (responses). If you haven’t done this yet, see to the prerequisites section for instructions.

APIs 126
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Efficient continual pre-training LLMs for financial domains

AWS Machine Learning

The resulting LLM outperforms LLMs trained on non-domain-specific datasets when tested on finance-specific tasks. Collecting and preparing finance data Domain continual pre-training necessities a large-scale, high-quality, domain-specific dataset. the SEC assigned identifier).

Finance 131
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How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

AWS Machine Learning

Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The solution runs Amazon Rekognition APIs for label detection , text detection, celebrity detection , and face detection on videos. The metadata generated for each video by the APIs is processed and stored with timestamps.

APIs 136
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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning

Services range from financing and investment to property management. AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards.

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Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

AWS Machine Learning

This process enhances task-specific model performance, allowing the model to handle custom use cases with task-specific performance metrics that meet or surpass more powerful models like Anthropic Claude 3 Sonnet or Anthropic Claude 3 Opus. Under Output data , for S3 location , enter the S3 path for the bucket storing fine-tuning metrics.

APIs 136
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Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization

AWS Machine Learning

For example, during the project planning phase, you should invest in cloud financial management skills and tools, and align finance and tech teams to incorporate both business and technology perspectives. Most importantly, you need to establish collaboration between finance and technology. Let’s consider different project phases.

Finance 119
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Q&A recap: crash course in Customer Success and SaaS metrics with Dave Kellogg

ChurnZero

With so many SaaS metrics floating around, and even more opinions on when and how to use them, it can be hard to know if you’re measuring what really matters. Leading SaaS expert, Dave Kellogg, and ChurnZero CEO, You Mon Tsang, sat down to answer all the questions you want to know about SaaS metrics like ARR, NRR, GRR, LTV, and CAC (i.e.,

SaaS 98