Deploying LLM at private infrastructure
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About
Created Internal LLM based upon Flan-UL2. The model achieves State-of-the-Art results on NLP tasks ranging from language generation, language understanding, text classification, question answering, commonsense reasoning, long text reasoning, structured knowledge grounding and information retrieval. Read more
CASE STUDY DETAILS
Under MNDA
SME
Sofia, Bulgaria
Project work
1 - 5 people
Less than 3 Months
€50 - 250K
Kanban
FOCUS AREA
Challenge, approach, and impact
Optimization patterns
Customizing large language models for specific business problems is challenging because there are many options, and the approaches and language are often inconsistent. The choice comes down to optimizing the prompt for a general model or fine-tuning a model on your data.
Scaling prompt engineering
While it’s straightforward for simple use cases, when building production applications, you run into many challenges, such as ambiguity in how large language models ingest and generate results, compatibility of prompts between different large language models, and maintaining them.
Testimonials
“Large Language Model (LLM) technology will play a significant role in the development of future applications. Why not start now?“ Read more
Anonymous
Vice President of Data Science & ML
VERIFIED
“Large Language Model (LLM) technology will play a significant role in the development of future applications. Why not start now?“ Read more
Anonymous
Vice President of Data Science & ML
VERIFIED
“Large Language Model (LLM) technology will play a significant role in the development of future applications. Why not start now?“ Read more
Anonymous
Vice President of Data Science & ML
VERIFIED
“Large Language Model (LLM) technology will play a significant role in the development of future applications. Why not start now?“ Read more
Anonymous
Vice President of Data Science & ML
VERIFIED
“Large Language Model (LLM) technology will play a significant role in the development of future applications. Why not start now?“ Read more
Anonymous
Vice President of Data Science & ML
VERIFIED
“Large Language Model (LLM) technology will play a significant role in the development of future applications. Why not start now?“ Read more
Anonymous
Vice President of Data Science & ML
VERIFIED
Team Structure
Client Team
Project stakeholder
CEO
***** *****
The client stakeholders worked closely with the team at Prime Holding
Agency Team
Production
1 x Vice President of Data Science & ML
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