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Question 9/38
What is LCEL in the context of LangChain Chains?
Correct Answer: C
Comprehensive and Detailed In-Depth Explanation=
LCEL (LangChain Expression Language) is a declarative syntax in LangChain for composing chains-sequences of operations involving LLMs, tools, and memory. It simplifies chain creation with a readable, modular approach, making Option C correct. Option A is false, as LCEL isn't fordocumentation. Option B is incorrect, as LCEL is current, not legacy. Option D is wrong, as LCEL is part of LangChain, not a standalone LLM library. LCEL enhances flexibility in application design.
OCI 2025 Generative AI documentation likely mentions LCEL under LangChain integration or chain composition.
LCEL (LangChain Expression Language) is a declarative syntax in LangChain for composing chains-sequences of operations involving LLMs, tools, and memory. It simplifies chain creation with a readable, modular approach, making Option C correct. Option A is false, as LCEL isn't fordocumentation. Option B is incorrect, as LCEL is current, not legacy. Option D is wrong, as LCEL is part of LangChain, not a standalone LLM library. LCEL enhances flexibility in application design.
OCI 2025 Generative AI documentation likely mentions LCEL under LangChain integration or chain composition.
- Question List (38q)
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- Question 2: Which statement accurately reflects the differences between ...
- Question 3: How are prompt templates typically designed for language mod...
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- Question 5: What is the main advantage of using few-shot model prompting...
- Question 6: What is the characteristic of T-Few fine-tuning for Large La...
- Question 7: What is prompt engineering in the context of Large Language ...
- Question 8: What does the Loss metric indicate about a model's predictio...
- Question 9: What is LCEL in the context of LangChain Chains?...
- Question 10: When should you use the T-Few fine-tuning method for trainin...
- Question 11: How does the temperature setting in a decoding algorithm inf...
- Question 12: Given the following code block: history = StreamlitChatMessa...
- Question 13: Which component of Retrieval-Augmented Generation (RAG) eval...
- Question 14: In which scenario is soft prompting especially appropriate c...
- Question 15: How does a presence penalty function in language model gener...
- Question 16: Which technique involves prompting the Large Language Model ...
- Question 17: Why is normalization of vectors important before indexing in...
- Question 18: What is the purpose of memory in the LangChain framework?...
- Question 19: What do embeddings in Large Language Models (LLMs) represent...
- Question 20: How do Dot Product and Cosine Distance differ in their appli...
- Question 21: An AI development company is working on an AI-assisted chatb...
- Question 22: What do prompt templates use for templating in language mode...
- Question 23: What is the role of temperature in the decoding process of a...
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- Question 25: Which is NOT a built-in memory type in LangChain?...
- Question 26: Which statement is true about string prompt templates and th...
- Question 27: How does the integration of a vector database into Retrieval...
- Question 28: Which is a key advantage of using T-Few over Vanilla fine-tu...
- Question 29: Given the following prompts used with a Large Language Model...
- Question 30: How does the structure of vector databases differ from tradi...
- Question 31: In the simplified workflow for managing and querying vector ...
- Question 32: How are fine-tuned customer models stored to enable strong d...
- Question 33: What issue might arise from using small datasets with the Va...
- Question 34: Which statement is true about the "Top p" parameter of the O...
- Question 35: Which is a distinctive feature of GPUs in Dedicated AI Clust...
- Question 36: Which is the main characteristic of greedy decoding in the c...
- Question 37: Which component of Retrieval-Augmented Generation (RAG) eval...
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