Critic: Large language models can self-correct with tool-interactive critiquing
Recent developments in large language models (LLMs) have been impressive. However,
these models sometimes show inconsistencies and problematic behavior, such as …
these models sometimes show inconsistencies and problematic behavior, such as …
Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions
Prompting-based large language models (LLMs) are surprisingly powerful at generating
natural language reasoning steps or Chains-of-Thoughts (CoT) for multi-step question …
natural language reasoning steps or Chains-of-Thoughts (CoT) for multi-step question …
Cognitive architectures for language agents
Recent efforts have incorporated large language models (LLMs) with external resources (eg,
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …
Frugalgpt: How to use large language models while reducing cost and improving performance
There is a rapidly growing number of large language models (LLMs) that users can query for
a fee. We review the cost associated with querying popular LLM APIs, eg GPT-4, ChatGPT …
a fee. We review the cost associated with querying popular LLM APIs, eg GPT-4, ChatGPT …