Machine Learning Engineer
Published date: 2024/01/10
- Location: Ajmer, Rajasthan, India
Role Description: Exploring Large Language Models for Task Solving
Are you fascinated by the potential of cutting-edge Large Language Models (LLMs) to revolutionize how we approach complex problem-solving? Join our dynamic team for an immersive internship experience focused on harnessing the power of LLMs to solve real-world tasks.
Responsibilities:
As an intern, you will engage in exciting and innovative projects that involve:
• Dealing with unstructured data: Deal with multiple types of documents and formats like pdf, text etc using techniques such as python pdf-parsing, ocr, DeTR.
• Improving Retrieval Augmented Generation: Use techniques of prompt engineering, self-querying etc to improve the recall and reliability of RAG
• Deploying Models with Precision: locally implementing models and optimizing their performance.
• Experimenting with Chain Types: Evaluate how these variations impact the efficiency and effectiveness of LLMs in solving tasks.
Required Skills:
• LangChain Proficiency: Demonstrated familiarity with the LangChain framework, or a strong eagerness to quickly master its implementation.
• LLM Expertise: Prior exposure to Large Language Models, coupled with a genuine passion for their transformative capabilities.
• PyTorch Proficiency: Strong foundation in PyTorch, enabling you to seamlessly navigate model development and experimentation.
Internship Duration: 1-3 months
Location: Remote
Stipend: INR 10,000 - 15,000 per month
Timings: both Full time/Part Time roles available
Are you fascinated by the potential of cutting-edge Large Language Models (LLMs) to revolutionize how we approach complex problem-solving? Join our dynamic team for an immersive internship experience focused on harnessing the power of LLMs to solve real-world tasks.
Responsibilities:
As an intern, you will engage in exciting and innovative projects that involve:
• Dealing with unstructured data: Deal with multiple types of documents and formats like pdf, text etc using techniques such as python pdf-parsing, ocr, DeTR.
• Improving Retrieval Augmented Generation: Use techniques of prompt engineering, self-querying etc to improve the recall and reliability of RAG
• Deploying Models with Precision: locally implementing models and optimizing their performance.
• Experimenting with Chain Types: Evaluate how these variations impact the efficiency and effectiveness of LLMs in solving tasks.
Required Skills:
• LangChain Proficiency: Demonstrated familiarity with the LangChain framework, or a strong eagerness to quickly master its implementation.
• LLM Expertise: Prior exposure to Large Language Models, coupled with a genuine passion for their transformative capabilities.
• PyTorch Proficiency: Strong foundation in PyTorch, enabling you to seamlessly navigate model development and experimentation.
Internship Duration: 1-3 months
Location: Remote
Stipend: INR 10,000 - 15,000 per month
Timings: both Full time/Part Time roles available
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