AI & ML interests
Evaluate and benchmark Generative AI models against industry-specific metrics such as accuracy (measured by precision, recall, F1 score, MAE, and MSE), fluency (measured by perplexity, BLEU, and METEOR), coherence (measured by coherence score, readability scores, and topic consistency), similarity (measured by cosine similarity, Jaccard similarity, edit distance, and SSIM), and relevance (measured by contextual appropriateness and domain-specific applicability), which are tailored to the unique requirements of each sector. Design and create bespoke Generative AI automation solutions tailored to client use cases Implement multimodal AI applications including Voice AI, Text-to-Speech, and Speech-to-Text Develop AI-powered Bots and Virtual Assistants to streamline customer interactions Integrate Generative AI capabilities into existing automation frameworks Collaborate with SMB and SME leadership teams in product development and manufacturing sectors
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