LLMs in Production Audiolivro Por Christopher Brousseau, Matt Sharp capa

LLMs in Production

Engineering AI Applications

Amostra

Assine e ganhe 30% de desconto neste título

R$ 19,90 /mês

Teste grátis por 30 dias
R$ 19,90/mês após o teste gratuito de 30 dias. Cancele a qualquer momento.
Curta mais de 100.000 títulos de forma ilimitada.
Ouça quando e onde quiser, mesmo sem conexão
Sem compromisso. Cancele grátis a qualquer momento.

LLMs in Production

De: Christopher Brousseau, Matt Sharp
Narrado por: Christopher Kendrick
Teste grátis por 30 dias

R$ 19,90/mês após o teste gratuito de 30 dias. Cancele a qualquer momento.

Compre agora por R$ 64,99

Compre agora por R$ 64,99

Confirmar a compra
Pagar usando o cartão terminado em
Ao confirmar sua compra, você concorda com as Condições de Uso da Audible e a Política de Privacidade da Amazon. Impostos, quando aplicável. PRECISA SER AJUSTADO
Cancelar

Sobre este áudio

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.

What You’ll Learn:

  • Master LLM Fundamentals – Understand tokenization, transformer architectures, and the evolution linguistics to the creation of foundation models.
  • RAG & Vector Databases – Augment model capabilities with real-time retrieval and memory-optimized embeddings.
  • Training vs Fine-tuning – Learn how to train your own model as well as cutting edge techniques like Distillation, RLHF, PEFT, LoRA, and QLoRA for cost-effective adaptation.
  • Prompt Engineering – Discover the quickly evolving world of prompt engineering and go beyond simple prompt and pray methods and learn how to implement structured outputs, complex workflows, and LLM agents.
  • Scaling & Cost Optimization – Deploy LLMs into your favorite cloud of choice, on commodity hardware, Kubernetes clusters, and edge devices.
  • Securing AI Workflows – Implement guardrails for hallucination mitigation, adversarial testing, and compliance monitoring.
  • MLOps for LLMs – Learn all about LLMOps, automate model lifecycle management, retraining pipelines, and continuous evaluation.

Hands-on Projects Include:

• Training a custom LLM from scratch – Build and optimize an industry-specific model.

• AI-Powered VSCode Extension – Use LLMs to enhance developer productivity with intelligent code completion.

• Deploying on Edge Devices – Run a lightweight LLM on a Raspberry Pi or Jetson Nano for real-world AI applications.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2024 Manning Publications (P)2025 Manning Publications
Ciência da Computação

O que os ouvintes dizem sobre LLMs in Production

Nota média dos ouvintes. Apenas ouvintes que tiverem escutado o título podem escrever avaliações.

Avaliações - Selecione as abas abaixo para mudar a fonte das avaliações.