Large Language Models (LLMs) Course
This course offers a practical introduction to building reliable code assistants using large language models, covering key concepts, evaluation, and implementation strategies.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Large Language Models (LLMs) Course provides a quick, hands-on way to create dependable code helpers. You'll cover transformer fundamentals, tokenisation, context limits, and common pitfalls, then evaluate open-source versus hosted models for actual tasks. From the start, you'll craft prompts, organise inputs and outputs, set up assessments, streamline request processes, and implement safeguards for safety, privacy, and dependability.
Elevify advantages
Develop skills
- Advanced prompting: create exact, trustworthy directives for code-oriented LLMs.
- LLM safety measures: minimise errors, safeguard confidential info, and uphold guidelines.
- LLM system planning: develop efficient, expandable request systems using RAG and caching.
- Evaluation expertise: monitor LLM performance through tests, measures, and human checks.
- Model choice: select and assess LLMs based on expense, speed, and code precision.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.
Giulio CarloAluno de Engenharia de Prompt
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