References

1. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models, J. Wei et. al., 2022.

   https://arxiv.org/abs/2201.11903

2. Few shot prompting on LangChain.

   https://python.langchain.com/docs/how_to/few_shot_examples/

3. Chain-of-Thought Prompting.

   https://www.promptingguide.ai/techniques/cot

4. Tool calling with LangChain, LangChain blog, 2024.

   https://blog.langchain.dev/tool-calling-with-langchain/

5. TALM: Tool Augmented Language Models, A. Parisi et. al, 2022.

   https://arxiv.org/abs/2205.12255

6. A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis, I. Gur et. al., 2023.

   https://arxiv.org/abs/2307.12856

7. ReAct: Synergizing Reasoning and Acting in Language Models, S. Yao et. al, 2022.

   https://arxiv.org/abs/2210.03629

8. Function calling, Vertex AI documentation.

   https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/function-calling

9. What Is Programmable Search Engine?, Google developer’s documentation...