Dataleum Academy, Diploma in advanced Data Analysis
Degree not specified
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Text & NLP: Fine-tuning LLMs (Large Language Models), conversational AI, prompt engineering, sentiment analysis, intent classification, and text summarization. Computer Vision: Image/video bounding boxes, semantic segmentation, 3D point cloud annotation, and key-point labeling. Audio & Speech: Transcription, audio tagging, and phonetic annotation. RLHF (Reinforcement Learning from Human Feedback): Ranking AI-generated responses, grading model outputs for factual accuracy, and identifying biases or hallucinations. High Attention to Detail: Strict adherence to complex, evolving annotation guidelines. Critical Thinking: Ability to independently troubleshoot ambiguous instructions and detect subtle errors in data. Domain Subject Matter Expertise (SME): Leveraging specific academic or professional backgrounds to grade complex queries.
Degree not specified
financial industry