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Applied generative AI for beginners : practical knowledge on diffusion models, ChatGPT, and other LLMs / / by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada
| Applied generative AI for beginners : practical knowledge on diffusion models, ChatGPT, and other LLMs / / by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada |
| Autore | Kulkarni Akshay |
| Pubbl/distr/stampa | [Berkeley, California] : , : Apress : , : Imprint : Apress, , 2023 |
| Descrizione fisica | 1 online resource (xvi, 212 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
ShivanandaAdarsha
KulkarniAnoosh GudivadaDilip |
| Soggetto topico | Artificial intelligence |
| ISBN | 1-4842-9994-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction to Generative AI -- Chapter 2: The Evolution of Neural Networks to Large Language Models -- Chapter 3: LLMs and Transformers -- Chapter 4: The ChatGPT Architecture: An In-Depth Exploration of OpenAI's Conversational Language Model -- Chapter 5: Google Bard and Beyond. - Chapter 6: Implement LLM’ using Sklearn -- Chapter 7: LLMs for Enterprise and LLMOps 8: Diffusion Model & Generative AI for Images. - Chapter 9: ChatGTP Use Cases. |
| Record Nr. | UNINA-9910767561003321 |
Kulkarni Akshay
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| [Berkeley, California] : , : Apress : , : Imprint : Apress, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Natural language processing projects : build next -generation NLP applications using AI techniques / / Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni
| Natural language processing projects : build next -generation NLP applications using AI techniques / / Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni |
| Autore | Kulkarni Akshay |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2022 |
| Descrizione fisica | 1 online resource (327 pages) |
| Disciplina | 006.35 |
| Soggetto topico |
Artificial intelligence
Natural language processing (Computer science) |
| ISBN | 1-4842-7386-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Natural Language Processing and Artificial Intelligence Overview -- Chapter 2: Product360 - Sentiment and Emotion Detector -- Chapter 3: TED Talks Segmentation and Topics Extraction Using Machine Learning -- Chapter 4: Enhancing E-commerce Using an Advanced Search Engine and Recommendation System -- Chapter 5: Creating a Resume Parsing, Screening, and Shortlisting System -- Chapter 6: Creating an E-commerce Product Categorization Model Using Deep Learning -- Chapter 7: Predicting Duplicate Questions in Quora -- Chapter 8: Named Entity Recognition Using CRF and BERT -- Chapter 9: Building a Chatbot Using Transfer Learning -- Chapter 10: News Headline Summarization -- Chapter 11: Text Generation - Next Word Prediction -- Chapter 12: Conclusion and Future Trends. |
| Record Nr. | UNINA-9910735382703321 |
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Kulkarni Akshay
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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