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Entry Point AI

Entry Point AI is a user-friendly platform for training custom language models.

10k 热度 AI开发平台 AI fine-tuning large language models no code train models manage datasets evaluate performance collaboration template fields dataset tools synthetic data content marketing sales lead qualification support issue prioritization data normalization email mark
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软件新闻

Huawei details open-source AI development roadmap at Huawei Connect 2025

发布日期:2025-09-29

Open-source AI development took centre stage at Huawei Connect 2025 last week, with Huawei laying out implementation timelines and the technical specifics around making its entire AI software stack publicly available by year-end. The announcements came with context that matters to developers: frank acknowledgement of past friction, specific commitments about what components will be released, […] The post Huawei details open-source AI development roadmap at Huawei Connect 2025 appeared first on AI News.

CAMIA privacy attack reveals what AI models memorise

发布日期:2025-09-26

Researchers have developed a new attack that reveals privacy vulnerabilities by determining whether your data was used to train AI models. The method, named CAMIA (Context-Aware Membership Inference Attack), was developed by researchers from Brave and the National University of Singapore and is far more effective than previous attempts at probing the ‘memory’ of AI […] The post CAMIA privacy attack reveals what AI models memorise appeared first on AI News.

Samsung benchmarks real productivity of enterprise AI models

发布日期:2025-09-25

Samsung is overcoming limitations of existing benchmarks to better assess the real-world productivity of AI models in enterprise settings. The new system, developed by Samsung Research and named TRUEBench, aims to address the growing disparity between theoretical AI performance and its actual utility in the workplace. As businesses worldwide accelerate their adoption of large language […] The post Samsung benchmarks real productivity of enterprise AI models appeared first on AI News.

Inside Huawei’s plan to make thousands of AI chips think like one computer

发布日期:2025-09-25

Imagine connecting thousands of powerful AI chips scattered in dozens of server cabinets and making them work together as if they were a single, massive computer. That is exactly what Huawei demonstrated at HUAWEI CONNECT 2025, where the company unveiled a breakthrough in AI infrastructure architecture that could reshape how the world builds and scales […] The post Inside Huawei’s plan to make thousands of AI chips think like one computer appeared first on AI News.

Generative AI in retail: Adoption comes at high security cost

发布日期:2025-09-24

The retail industry is among the leaders in generative AI adoption, but a new report highlights the security costs that accompany it. According to cybersecurity firm Netskope, the retail sector has all but universally adopted the technology, with 95% of organisations now using generative AI applications. That’s a huge jump from 73% just a year […] The post Generative AI in retail: Adoption comes at high security cost appeared first on AI News.

OpenAI and Nvidia plan $100B chip deal for AI future

发布日期:2025-09-24

OpenAI and Nvidia have signed a letter of intent for a $100B partnership that could reshape how AI systems are trained and deployed. The plan calls for at least 10 gigawatts of Nvidia hardware to support OpenAI’s next-generation AI infrastructure, which will train and run future models aimed at superintelligence. To support the rollout, Nvidia […] The post OpenAI and Nvidia plan $100B chip deal for AI future appeared first on AI News.

Governing the age of agentic AI: Balancing autonomy and accountability  

发布日期:2025-09-24

Author: Rodrigo Coutinho, Co-Founder and AI Product Manager at OutSystems AI has moved beyond pilot projects and future promises. Today, it’s embedded in industries, with more than three-quarters of organisations (78%) now using AI in at least one business function. The next leap, however, is agentic AI: systems that don’t just provide insights or automate […] The post Governing the age of agentic AI: Balancing autonomy and accountability   appeared first on AI News.

使用指南

What is Entry Point AI - Fine-tuning Platform for Large Language Models?

Entry Point AI is a fine-tuning platform that allows users to train, manage, and evaluate custom large language models (LLMs). It provides a user-friendly interface for training models without the need for coding skills.

How to use Entry Point AI - Fine-tuning Platform for Large Language Models?

To use Entry Point AI, follow these steps:

1. Identify the task you want your language model to perform.

2. Import examples of the desired task into Entry Point AI using a CSV file.

3. Evaluate the performance of the fine-tuned models using the built-in evaluation tools.

4. Collaborate with teammates to manage the training process and track model performance.

5. Utilize dataset tools to filter, edit, and manage your dataset.

6. Generate synthetic examples using the AI Data Synthesis feature.

7. Export the fine-tuned models or use them directly in your applications.

Entry Point AI - Fine-tuning Platform for Large Language Models's Core Features

The core features of Entry Point AI include:

1. Intuitive Interface: Simplifies the training process with a user-friendly interface that eliminates the need for coding.

2. Template Fields: Allows users to define field types for easy dataset organization and updates.

3. Dataset Tools: Enables filtering, editing, and management of datasets, as well as AI Data Synthesis for generating synthetic examples.

4. Collaboration: Facilitates seamless collaboration with teammates by providing project management tools.

5. Evaluation: Provides built-in evaluation tools to assess the performance of fine-tuned models.

Entry Point AI - Fine-tuning Platform for Large Language Models's Use Cases

#1

Entry Point AI can be used in various applications such as:

1. Content Marketing: Train a model to generate blog posts that match your brand's style.

2. Sales Lead Qualifier: Classify leads based on their contact form submissions and assign scores to distribute them fairly.

3. Support Issue Prioritizer: Identify and prioritize high-priority support issues for faster resolution.

4. Big Data Data Normalizer: Normalize records from various sources according to specific data standards.

5. Email Marketing: Clean up marketing email lists by detecting fake or spam email addresses.

6. Finance Fraud Detector: Identify potentially fraudulent activity using language models.

FAQ from Entry Point AI - Fine-tuning Platform for Large Language Models

What is fine-tuning?

What platforms are supported by Entry Point AI?

Is an API key required to use Entry Point AI?

Entry Point AI - Fine-tuning Platform for Large Language Models Discord

Here is the Entry Point AI - Fine-tuning Platform for Large Language Models Discord:

https://discord.gg/BUNsbE4AJr

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For more Discord message, please click

here(/discord/bunsbe4ajr)

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Entry Point AI - Fine-tuning Platform for Large Language Models Company

Entry Point AI - Fine-tuning Platform for Large Language Models Company name:

Entry Point AI Inc.

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Entry Point AI - Fine-tuning Platform for Large Language Models Pricing

Entry Point AI - Fine-tuning Platform for Large Language Models Pricing Link:

https://www.entrypointai.com/pricing/

Entry Point AI - Fine-tuning Platform for Large Language Models Youtube

Entry Point AI - Fine-tuning Platform for Large Language Models Youtube Link:

https://www.youtube.com/@EntryPointAI

Entry Point AI - Fine-tuning Platform for Large Language Models Linkedin

Entry Point AI - Fine-tuning Platform for Large Language Models Linkedin Link:

https://www.linkedin.com/company/entrypointai

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