Sunday, 14 Dec 2025
Subscribe
logo
  • Global
  • AI
  • Cloud Computing
  • Edge Computing
  • Security
  • Investment
  • Sustainability
  • More
    • Colocation
    • Quantum Computing
    • Regulation & Policy
    • Infrastructure
    • Power & Cooling
    • Design
    • Innovations
    • Blog
Font ResizerAa
Data Center NewsData Center News
Search
  • Global
  • AI
  • Cloud Computing
  • Edge Computing
  • Security
  • Investment
  • Sustainability
  • More
    • Colocation
    • Quantum Computing
    • Regulation & Policy
    • Infrastructure
    • Power & Cooling
    • Design
    • Innovations
    • Blog
Have an existing account? Sign In
Follow US
© 2022 Foxiz News Network. Ruby Design Company. All Rights Reserved.
Data Center News > Blog > AI > Bridging the gap between LLMs and symbolic reasoning
AI

Bridging the gap between LLMs and symbolic reasoning

Last updated: June 14, 2024 7:54 pm
Published June 14, 2024
Share
Bridging the gap between LLMs and symbolic reasoning
SHARE

Researchers have introduced a novel strategy referred to as pure language embedded packages (NLEPs) to enhance the numerical and symbolic reasoning capabilities of enormous language fashions (LLMs). The approach entails prompting LLMs to generate and execute Python packages to unravel consumer queries, then output options in pure language.

Whereas LLMs like ChatGPT have demonstrated spectacular efficiency on varied duties, they typically battle with issues requiring numerical or symbolic reasoning.

NLEPs observe a four-step problem-solving template: calling vital packages, importing pure language representations of required data, implementing a solution-calculating operate, and outputting outcomes as pure language with non-compulsory information visualisation.

This strategy affords a number of benefits, together with improved accuracy, transparency, and effectivity. Customers can examine generated packages and repair errors instantly, avoiding the necessity to rerun complete fashions for troubleshooting. Moreover, a single NLEP could be reused for a number of duties by changing sure variables.

The researchers discovered that NLEPs enabled GPT-4 to realize over 90% accuracy on varied symbolic reasoning duties, outperforming task-specific prompting strategies by 30%

Past accuracy enhancements, NLEPs might improve information privateness by working packages domestically, eliminating the necessity to ship delicate consumer information to exterior firms for processing. The approach may additionally enhance the efficiency of smaller language fashions with out expensive retraining.

Nevertheless, NLEPs depend on a mannequin’s program era functionality and will not work as effectively with smaller fashions educated on restricted datasets. Future analysis will discover strategies to make smaller LLMs generate simpler NLEPs and examine the impression of immediate variations on reasoning robustness.

The analysis, supported partly by the Middle for Perceptual and Interactive Intelligence of Hong Kong, can be offered on the Annual Conference of the North American Chapter of the Association for Computational Linguistics later this month.

See also  DeepSeek ban? China data transfer boosts security concerns

(Photograph by Alex Azabache)

See additionally: Apple is reportedly getting free ChatGPT entry

Need to study extra about AI and large information from trade leaders? Take a look at AI & Big Data Expo happening in Amsterdam, California, and London. The excellent occasion is co-located with different main occasions together with Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Discover different upcoming enterprise know-how occasions and webinars powered by TechForge here.

Tags: ai, synthetic intelligence, improvement, massive language fashions, llm, pure language, nlep

Source link

TAGGED: Bridging, gap, LLMs, reasoning, symbolic
Share This Article
Twitter Email Copy Link Print
Previous Article A major disinformation research center’s future looks uncertain A major disinformation research center’s future looks uncertain
Next Article roamless Roamless Raises $5M in Seed Funding
Leave a comment

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Your Trusted Source for Accurate and Timely Updates!

Our commitment to accuracy, impartiality, and delivering breaking news as it happens has earned us the trust of a vast audience. Stay ahead with real-time updates on the latest events, trends.
FacebookLike
TwitterFollow
InstagramFollow
YoutubeSubscribe
LinkedInFollow
MediumFollow
- Advertisement -
Ad image

Popular Posts

In the Spotlight… Pulsant Video Interview

Our sponsored video interview collection, In The Highlight, is again, and this time we’re joined…

March 6, 2025

Cisco boosts security wares with AI-driven access control, identity management

Cisco is updating elements of its overarching Security Cloud platform to help enterprise customers better…

February 7, 2024

OpenAI warns California’s AI bill threatens US innovation

OpenAI has added its voice to the rising refrain of tech leaders and politicians opposing…

August 22, 2024

ABB opens £27 million Nottingham factory

ABB has opened an 8,800m² manufacturing and R&D website in Nottingham to scale manufacturing of…

October 1, 2025

AI enables shift from enablement to strategic leadership

CIOs and enterprise leaders know they’re sitting on a goldmine of enterprise knowledge. And whereas…

June 4, 2025

You Might Also Like

Why most enterprise AI coding pilots underperform (Hint: It's not the model)
AI

Why most enterprise AI coding pilots underperform (Hint: It's not the model)

By saad
Newsweek: Building AI-resilience for the next era of information
AI

Newsweek: Building AI-resilience for the next era of information

By saad
Google’s new framework helps AI agents spend their compute and tool budget more wisely
AI

Google’s new framework helps AI agents spend their compute and tool budget more wisely

By saad
BBVA embeds AI into banking workflows using ChatGPT Enterprise
AI

BBVA embeds AI into banking workflows using ChatGPT Enterprise

By saad
Data Center News
Facebook Twitter Youtube Instagram Linkedin

About US

Data Center News: Stay informed on the pulse of data centers. Latest updates, tech trends, and industry insights—all in one place. Elevate your data infrastructure knowledge.

Top Categories
  • Global Market
  • Infrastructure
  • Innovations
  • Investments
Usefull Links
  • Home
  • Contact
  • Privacy Policy
  • Terms & Conditions

© 2024 – datacenternews.tech – All rights reserved

Welcome Back!

Sign in to your account

Lost your password?
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.
You can revoke your consent any time using the Revoke consent button.