Overcoming LLM Limitations (opens in new tab)

I recently shipped a small research agent that beats three recurring LLM problems: stale training data, hallucinated facts, and arithmetic errors. Instead of hoping the model memorized everything correctly, I gave it tools to look up facts and verify math, then cite sources before answering. In this tutorial I will walk you through the exact code so you can run it against Oxlo.ai today. What you'll need Python 3.10 or newer, the OpenAI SDK, and an Oxlo.ai API key from Install the SDK with pip...

Read the original article
Sign in to keep reading the full article.

Cited by 4 articles

dev.to··DEV
dev.to··DEV
dev.to··DEV
View all 4 ›

Keyboard Shortcuts

Navigation

Next / previous item
j/k
Open post
oorEnter
Preview post
v

Post Actions

Love post
a
Like post
l
Dislike post
d
Undo reaction
u
Save / unsave
s

Recommendations

Add interest / feed
Enter
Not interested
x

Go to

Home
gh
Interests
gi
Feeds
gf
Likes
gl
History
gy
Changelog
gc
Settings
gs
Browse
gb
Search
/

General

Show this help
?
Submit feedback
!
Close modal / unfocus
Esc

Press ? anytime to show this help