Generative AI Course in Hyderabad | Generative AI Courses Online

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91-7032290546
www.visualpath.in
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Introduction

• Generative AI has transformed industries, from
  content creation to synthetic media, but
  optimization is key to reliable and scalable
  outputs.
• Whether you're building AI chatbots, image
  generators, or text summarizers, optimizing your
  model ensures accuracy, efficiency, and control.
• Poorly tuned models often lead to hallucinated
  outputs, resource bottlenecks, and misaligned
  results.
• This guide explores expert strategies to optimize
  Generative AI models using best practices, tools,
  and real-world insights.

91-7032290546
www.visualpath.in
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Data Quality

• Use clean, well-labeled datasets to reduce noise
  and improve learning efficiency.
• Apply data augmentation techniques to increase
  diversity and robustness.
• Regularly audit and update data to reflect
  current trends and user behaviour.
• Eliminate bias and duplication to reduce unwanted
  model behaviours.

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91-7032290546
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Prompt Engineering

• Craft precise prompts to guide model behaviour
  effectively.
• Use few-shot and zero-shot learning to improve
  performance on low-data tasks.
• Test prompt templates across different inputs for
  consistency.
• Incorporate role-based prompting (e.g., You are
  a legal advisor...) for task-specific outputs.

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91-7032290546
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Model Fine-Tuning

• Fine-tune models on domain-specific datasets for
  higher relevance.
• Use transfer learning to build on pre-trained
  models with minimal data.
• Apply early stopping to avoid over fitting during
  training.
• Evaluate performance on validation datasets to
  ensure generalization.

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91-7032290546
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Hyper parameter Tuning

• Adjust learning rates, batch sizes, and epochs
  for optimal convergence.
• Use grid search or Bayesian optimization for
  systematic tuning.
• Track performance metrics like loss, accuracy,
  and perplexity.
• Automate experiments with tools like Weights
  Biases or Optuna.

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91-7032290546
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Output Filtering

• Use temperature and top-p sampling to control
  creativity vs. coherence.
• Set length constraints to avoid irrelevant or
  verbose outputs.
• Implement toxicity and bias filters using tools
  like Perspective API.
• Post-process with regex, logic, or external APIs
  to refine results.

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91-7032290546
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Evaluation Metrics

• Measure output quality using BLEU, ROUGE, METEOR,
  or BERT Score.
• Conduct human-in-the-loop evaluations to assess
  context relevance.
• Evaluate coherence, factuality, and fluency
  systematically.
• Compare with baseline models to benchmark
  improvements.

www.visualpath.in
91-7032290546
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Scalability Planning

• Optimize models for inferencing speed and memory
  usage.
• Use quantization, pruning, or distillation to
  reduce model size.
• Deploy models on GPU/TPU clusters for large-scale
  workloads.
• Monitor system health using ML observability
  tools like Arize AI or Fiddler.

www.visualpath.in
91-7032290546
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Conclusion

• Optimizing Generative AI models ensures theyre
  efficient, accurate, and scalable.
• From data quality to scalability, each step
  contributes to model maturity and trust.
• Continuous monitoring and feedback loops help
  sustain long-term performance.
• Start implementing these tips today to unlock the
  full potential of Generative AI.

91-7032290546
www.visualpath.in
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CONTACT

• Unlock Your Future with Generative AI Online
  Training!
• ?? Address Flat No 205, 2nd Floor, Nilgiri
  Block, Aditya Enclave, Ameerpet, Hyderabad-16??
  Call Us 91 7032290546?? Visit Us
  www.visualpath.in?? Email online_at_visualpath.in?
  ? Master Generative AI Elevate Your Skills!

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Thank You
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Optimization is not about perfectionit's about
precision, purpose, and unlocking the full
potential of what Generative AI can create.