Last updated: July 05, 2026

Application No. 18/243,348

NEURAL NETWORK PROMPT TUNING

Non-Final OA

Filed

Sep 07, 2023

Priority

Sep 09, 2022 — provisional 63/405,355

Examiner

CHUANG, SU-TING

Art Unit

2146

Tech Center

2100 — Computer Architecture & Software

Assignee

NVIDIA Corporation

OA Round

1 (Non-Final)

This examiner grants 50% of cases after interview

— +38.9% interview lift. A telephonic interview to clarify the technical implementation could significantly improve the outcome.

Based on 107 resolved cases, 2023–2026

Examiner Intelligence

CHUANG, SU-TING View full profile →

Grants 50% of resolved cases

Career Allowance Rate

54 granted / 107 resolved

-4.5% vs TC avg

Strong +39% interview lift

Without

With

+38.9%

Interview Lift

resolved cases with interview

Typical timeline

4y 6m

Avg Prosecution

22 currently pending

Career history

135

Total Applications

across all art units

Statute-Specific Performance

§101

13.2%

-26.8% vs TC avg

§103

74.8%

+34.8% vs TC avg

§102

8.4%

-31.6% vs TC avg

§112

1.9%

-38.1% vs TC avg

Black line = Tech Center average estimate • Based on career data from 107 resolved cases

Prosecution Timeline

Sep 07, 2023

Application Filed

Apr 01, 2026

Non-Final Rejection mailed (current)

Precedent Cases

Applications granted by this same examiner with similar technology

18/172,519

Patent 12645997

INDIVIDUALIZED CLASSIFICATION THRESHOLDS FOR MACHINE LEARNING MODELS

3y 3m to grant Granted Jun 02, 2026

17/726,040

Patent 12626164

SYSTEM AND METHOD FOR REDUCTION OF DATA TRANSMISSION BY DATA RECONSTRUCTION

4y 0m to grant Granted May 12, 2026

17/828,778

Patent 12626106

MACHINE LEARNING MODELS FOR BEHAVIOR UNDERSTANDING

3y 11m to grant Granted May 12, 2026

17/871,819

Patent 12626140

SYSTEMS AND METHODS FOR ONLINE TIME SERIES FORCASTING

3y 9m to grant Granted May 12, 2026

16/655,202

Patent 12619890

LEARNING PATTERN DICTIONARY FROM NOISY NUMERICAL DATA IN DISTRIBUTED NETWORKS

6y 6m to grant Granted May 05, 2026

Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.

Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

1-2

Expected OA Rounds

50%

Grant Probability

89%

With Interview (+38.9%)

4y 6m (~1y 8m remaining)

Median Time to Grant

Low

PTA Risk

Based on 107 resolved cases by this examiner. Grant probability derived from career allowance rate.