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+# Subscribe to our Newsletter for Updates and Tips
+
+If you want to get updates on new features and tips on how to use Instructor, you can subscribe to our newsletter below to get notified when we publish new content.
+
+<iframe src="https://embeds.beehiiv.com/2faf420d-8480-4b6e-8d6f-9c5a105f917a?slim=true" data-test-id="beehiiv-embed" height="52" frameborder="0" scrolling="no" style="margin: 0; border-radius: 0px !important; background-color: transparent;"></iframe>
+
+## Advanced Topics
+
+1. [Unified Provider Interface in Instructor](posts/announcing-unified-provider-interface.md)
+2. [Instructor Implements llms.txt](posts/llms-txt-adoption.md)
+3. [Query Understanding: Beyond Embeddings](posts/rag-and-beyond.md)
+4. [Achieving GPT-4 Level Summaries with GPT-3.5-turbo](posts/chain-of-density.md)
+5. [Basics of Guardrails and Validation in AI Models](posts/validation-part1.md)
+6. [Validating Citations in AI-Generated Content](posts/citations.md)
+7. [Fine-tuning and Distillation in AI Models](posts/distilation-part1.md)
+8. [Enhancing OpenAI Client Observability with LangSmith](posts/langsmith.md)
+9. [Logfire Integration with Pydantic](posts/logfire.md)
+
+## AI Development and Optimization
+
+- [Effective Function Caching in Python](posts/caching.md)
+- [Fundamentals of Batch Processing with Async in Python](posts/learn-async.md)
+- [Streaming Models to Improve Latency](posts/generator.md)
+- [Using OpenAI's Batch API for Large-Scale Synthetic Data Generation](../examples/batch_job_oai.md)
+- [Implementing Bulk Classification with User-Provided Tags](../examples/bulk_classification.md)
+- [Utilizing GPT-4 Vision API for Ad Copy from Product Images](../examples/image_to_ad_copy.md)
+
+## Language Models and Prompting Techniques
+
+- [Least-to-Most Prompting Technique for LLMs](../prompting/decomposition/least_to_most.md)
+- [Chain of Verification (CoVe) Method for Improving LLM Accuracy](../prompting/self_criticism/chain_of_verification.md)
+- [Cumulative Reasoning to Enhance Model Performance](../prompting/self_criticism/cumulative_reason.md)
+- [Reverse Chain of Thought (RCoT) Method for Logical Consistency](../prompting/self_criticism/reversecot.md)
+
+## Integrations and Tools
+
+- [Ollama Integration](../integrations/ollama.md)
+- [llama-cpp-python Integration](../integrations/llama-cpp-python.md)
+- [Together Compute Integration](../integrations/together.md)
+- [Pandas DataFrame Examples](./posts/tidy-data-from-messy-tables.md#defining-a-custom-type)
+- [Streaming Response Examples](../concepts/partial.md)
+
+## Media and Resources
+
+- [Course: Structured Outputs with Instructor](https://www.wandb.courses/courses/steering-language-models?x=1)
+- [Keynote: Pydantic is All You Need](posts/aisummit-2023.md)