Deal of The Day! Hurry Up, Grab the Special Discount - Save 25%
- Ends In
00:00:00
Coupon code:
SAVE25
X
Welcome to Pass4Success
Login
|
Sign up
-
Free
Preparation Discussions
Mail Us
support@pass4success.com
Location
PL
MENU
Home
Popular vendors
Salesforce
Microsoft
Nutanix
Cisco
Amazon
Google
CompTIA
SAP
VMware
Oracle
Fortinet
PeopleCert
Eccouncil
HP
Palo Alto Networks
Adobe
ISC2
ServiceNow
Dell EMC
CheckPoint
Discount Deals
New
About
Contact
Login
Sign up
Home
Discussions
Oracle Discussions
Exam 1Z0-1127-24 Topic 2 Question 12 Discussion
Oracle Exam 1Z0-1127-24 Topic 2 Question 12 Discussion
Actual exam question for Oracle's 1Z0-1127-24 exam
Question #: 12
Topic #: 2
[All 1Z0-1127-24 Questions]
Given the following code: chain = prompt |11m
A
Which statement is true about LangChain Expression language (ICED?
B
LCEL is a programming language used to write documentation for LangChain.
C
LCEL is a legacy method for creating chains in LangChain
D
LCEL is a declarative and preferred way to compose chains together.
Show Suggested Answer
Hide Answer
Suggested Answer:
D
by
Willow
at
Aug 24, 2024, 01:42 PM
Limited Time Offer
25%
Off
Get Premium 1Z0-1127-24 Questions as Interactive Web-Based Practice Test or PDF
Contribute your Thoughts:
Submit
Cancel
Mitzie
8 months ago
D) Bingo! Selective fine-tuning is the way to go. Any more layers and it's like trying to teach an old dog new tricks - too much baggage to deal with.
upvoted
0
times
...
Kristian
8 months ago
This question is making my head spin more than a Transformer's wheels! But I'm going to have to go with D - keeping the updates targeted is key.
upvoted
0
times
Chaya
6 months ago
I see your point, but excluding transformer layers entirely could limit the model's performance.
upvoted
0
times
...
Lavonda
6 months ago
True, but allowing updates across all layers might provide more flexibility in some cases.
upvoted
0
times
...
Rosendo
7 months ago
I think incorporating additional layers could also help improve the fine-tuning process.
upvoted
0
times
...
Lashawnda
7 months ago
I agree, keeping the updates targeted definitely helps with efficiency.
upvoted
0
times
...
...
Herminia
8 months ago
A) By incorporating additional layers to the base model? Sounds like a recipe for overfitting to me. I'll go with D.
upvoted
0
times
...
Jose
8 months ago
D) By restricting updates to only a specific group of transformer layers. Efficient fine-tuning is all about striking the right balance between flexibility and parameter count.
upvoted
0
times
Glen
7 months ago
B) By allowing updates across all layers of the model
upvoted
0
times
...
Afton
7 months ago
A) By incorporating additional layers to the base model
upvoted
0
times
...
...
Tamekia
8 months ago
I think the answer is D, by restricting updates to only a specific group of transformer layers to optimize efficiency.
upvoted
0
times
...
Jolanda
8 months ago
But wouldn't updating all layers slow down the fine-tuning process?
upvoted
0
times
...
Clorinda
8 months ago
I disagree, I believe the answer is B, by allowing updates across all layers of the model.
upvoted
0
times
...
Jolanda
8 months ago
I think the answer is A, by incorporating additional layers to the base model.
upvoted
0
times
...
Log in to Pass4Success
×
Sign in:
Forgot my password
Log in
Report Comment
×
Is the comment made by
USERNAME
spam or abusive?
Commenting
×
In order to participate in the comments you need to be logged-in.
You can
sign-up
or
login
Save
Cancel
az-700
pass4success
az-104
200-301
200-201
cissp
350-401
350-201
350-501
350-601
350-801
350-901
az-720
az-305
pl-300
Warning
: Cannot modify header information - headers already sent by (output started at /pass.php:70) in
/pass.php
on line
77
Mitzie
8 months agoKristian
8 months agoChaya
6 months agoLavonda
6 months agoRosendo
7 months agoLashawnda
7 months agoHerminia
8 months agoJose
8 months agoGlen
7 months agoAfton
7 months agoTamekia
8 months agoJolanda
8 months agoClorinda
8 months agoJolanda
8 months ago