Cover Image

Challenges and applications of generative large language models /

Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Pillai, Anitha S., 1967- (Editor), Tedesco, Roberto (Editor), Scotti, Vincenzo (Editor)
Format:	eBook
Language:	English
Published:	Amsterdam : Morgan Kaufmann, 2026.
Subjects:	Artificial intelligence. Natural language generation (Computer science) Natural language processing (Computer science) Intelligence artificielle. Génération automatique de texte. Traitement automatique des langues naturelles. artificial intelligence. Artificial intelligence Electronic books.
Online Access:	Connect to the full text of this electronic book

Similar Items

Evaluating large language models (LLMs).
Published: (2025)

A practical introduction to large language models : uses and strategies for real-world AI applications.
Published: (2025)

Mastering prompt engineering : deep insights for optimizing large language models (LLMs) /
by: Nayyar, Anand, et al.
Published: (2025)

Build a large language model (from scratch) /
by: Raschka, Sebastian
Published: (2025)

Build a large language model (from Scratch) /
by: Raschka, Sebastian
Published: (2025)

Build a large language model (from Scratch) /
by: Raschka, Sebastian
Published: (2025)

Build a large language model (from scratch) /
by: Raschka, Sebastian
Published: (2025)

Test Yourself on Build a Large Language Model (from Scratch) Exercises to Enhance Your LLM Learning.
Published: (2025)

Artificial intelligence and large language models : a scientific perspective /
Published: (2026)

The complete OpenAI agent builder course : create, automate & launch AI agents.
Published: (2025)

Knowledge graphs and LLMs in action /
by: Negro, Alessandro, et al.
Published: (2025)

Large language model recipes : a hands-on guide to fine-tuning, optimization, deployment, and real-world applications /
by: Bolla, Bharath Kumar, et al.
Published: (2026)

Natural language for artificial intelligence /
by: Monte-Serrat, Dioneia Motta
Published: (2021)

DeepSeek in action : llm deployment, fine-tuning, and application /
by: Dai, Jing
Published: (2026)

AI through LLMs : transforming translation practice and teaching /
Published: (2026)

Creative AI agents with Copilot Studio : building intelligent, engaging, and autonomous assistants /
by: Uddin, Mezba
Published: (2026)

Generative AI foundations, developments, and applications /
Published: (2025)

The Copilot compass : navigating Copilot and agents in Microsoft 365 /
by: Dunnam, April
Published: (2026)

MACHINE INTELLIGENCE; COMPUTER VISION AND NATURAL LANGUAGE PROCESSING.
Published: (2023)

Generative AI and LLMs : natural language processing and generative adversarial networks /
Published: (2024)

Natural language processing projects : build next -generation NLP applications using AI techniques /
by: Kulkarni, Akshay, et al.
Published: (2022)

Generative AI unleashed : advancements, transformative applications and future frontiers /
Published: (2025)

Generative AI unleashed : advancements, transformative applications and future frontiers /
Published: (2025)

Generative AI unleashed : advancements, transformative applications and future frontiers /
Published: (2025)

Your new colleague is a Copilot : aligning technology, talent, and trust /
by: Matfess, Jared
Published: (2026)

Killer ChatGPT prompts : harness the power of AI for success and profit /
by: Hart-Davis, Guy
Published: (2023)

Copilot for Microsoft 365 : outlook, teams, Edge, forms and OneNote.
Published: (2026)

Computational intelligence methods for sentiment analysis in natural language processing applications /
Published: (2024)

Building and operating large language models.
Published: (2025)

RAG-Driven Generative AI : Build Custom Retrieval Augmented Generation Pipelines with LlamaIndex, Deep Lake, and Pinecone /
by: Rothman, Denis
Published: (2024)

Prompt engineering for everybody with ChatGPT and GPT4.
Published: (2023)

How to be happy with a Chatbot state machine.
Published: (2022)

Advanced AI and prompt engineering techniques and resources /
Published: (2026)

AI security fundamentals : LLM threats and OWASP principles 2026.
by: Nednur, Anand Rao
Published: (2025)

AI-assisted program design : an introduction to prompt engineering using Python and GitHub Copilot /
by: Morazán, Marco T.
Published: (2026)

Computing with words in information/intelligent systems /
Published: (1999)

Using natural language processing & conversational AI for positive behavior change : Troo.ai.
Published: (2019)

Build a text-to-image generator (from scratch) /
by: Liu, Mark (Mark H.)
Published: (2025)

Springer Nature computing video.
Published: (2022)

Extracting intelligence from RSS news feeds using Python and AI : from global headlines to actionable intelligence /
by: Hosmer, Chet
Published: (2026)