Overview
How it works: 4-6 week workshop resulting in practical recommendations and implementation roadmap
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Phase I - Discover (2-3 weeks) Loka will host technical sessions to assess your specific use cases, analyze existing data and evaluate potential LLMs. We'll deliver recommendations and implementation documents to help you select the most suitable AI architecture tailored to your needs.
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Phase II - PoC (2-3 weeks) We will conduct iterative testing of various open-source LLMs with selected 3rd party or proprietary data. Our aim is to identify the most effective LLM for the production environment. At the end of this phase, you will have a robust direction on LLM selection, an implementation roadmap and clear tuning guidelines.
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Beyond Workshop (Implement the project) Once the recommendations are established, you can opt to extend your partnership with Loka for final adjustments and deployment of the model and infrastructure. This phase can be supported by AWS funding programs like Jumpstart.
Highlights
- Unlocking the immense potential of generative AI and data is crucial, yet challenging for startup, SMB and enterprise initiatives. That’s why AWS and Loka created the GenAI Workshop where founders and technical leaders can get expert guidance and direction on using Large Language Models (LLMs) on AWS. The workshop will address vital areas,such as model selection and tuning, decisions between training new or using pre-trained models and hosting options including Sagemaker, OpenAI and AWS Bedrock.
Details
Pricing
Custom pricing options
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To schedule your free Data Architecture Consultation contact Loka at AWS-team@loka.com , or your AWS representative.