We are looking for a skilled and innovative developer to help us build a Minimum Viable Product (MVP) for a KnowledgeBase extended Large Language Model (LLM) chat application. This project involves integrating advanced technologies such as Vectorbase, LLMs like LLama2 and OpenAI's GPT-3, and SemanticSearch to create a cutting-edge conversational experience. If you are passionate about natural language processing, machine learning, and cloud technologies, we want to hear from you.
Project Goals:
Develop an MVP for a KnowledgeBase extended LLM chat application that enhances the capabilities of LLMs like LLama2 and OpenAI's GPT-3 by integrating additional data.
Utilize Vectorbase technology to efficiently store and manage data, enabling improved context-aware responses in the chat application.
Implement SemanticSearch techniques to enhance information retrieval and conversational depth within the chat.
Integrate Python programming for seamless communication between components and systems.
Set up Gitlab repositories and establish Gitlab Pipelines for version control and continuous integration/continuous deployment (CI/CD) to ensure smooth development processes.
Leverage AWS Cloud Native services, with a focus on AWS SageMaker, to train and deploy models efficiently.
Implement MLFlow for tracking and visualizing essential metrics to measure the success of the MVP.
Integrate Vectordatabases (qdrant, Milvus) to manage high-dimensional data embeddings and optimize search capabilities.
Qualifications:
Strong experience working with LLMs, especially LLM Lambda2 and OpenAI's GPT-3.
Proficiency in implementing embeddings for improving NLP applications.
Familiarity with SemanticSearch techniques to enhance conversational depth and data retrieval.
Expertise in Python programming for building and connecting various project components.
Prior experience with Gitlab, Gitlab Pipelines, and version control practices.
Practical knowledge of AWS Cloud Native services, particularly AWS SageMaker.
Familiarity with MLFlow for tracking and analyzing key performance metrics.
Experience in working with Vectordatabases such as qdrant and Milvus for efficient data storage and retrieval.
Strong problem-solving abilities and a proactive approach to overcoming challenges.
Effective communication skills and the ability to work collaboratively in a remote team environment.
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