Posted:1 day ago|
Platform:
On-site
Full Time
Greetings form PPTS!!!
Mandatory Skills: LLM, RAG, Gen AI, Statistics, NLP
Experience - Minimum 9 plus years of industry exposure
Key Responsibilities:
· Design and implement Retrieval Augmented Generation (RAG) models to enhance the performance and accuracy of LLMs.
· Utilize the LangChain framework for building efficient LLM workflows.
· Develop methods for chunking and embedding non-structured and structured databases, storing these in vector databases such as Pinecone.
· Conduct vector similarity searches to improve information retrieval processes.
· Employ the llmware framework for citations and source verification, ensuring the accuracy of LLM responses by comparing them with source data.
· Generate knowledge by prompting separate LLMs to produce information, aiming to improve overall LLM performance.
· Possess in-depth knowledge of all main proprietary LLMs, including GPT-3, GPT-3.5Turbo, GPT-4, GPT-4Turbo, Claude 1, Claude 2, Llama, etc.
· Apply advanced prompt engineering techniques such as Chain of Thought, Zero-shot CoT, Self Consistency, Least-to-most, AutoPrompt, Prefix Tuning, Prompt Tuning, and P Tuning to refine LLM outputs.
· Ensure security measures, including encryption in transit and at rest, are upheld.
· Optimize LLM performance through caching, efficient API calls, and cloud infrastructure optimization.
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