Back

Anonymous

Anonymous 3

 • 

Amazon • 1y

Closed-source models like GPT-4 or Gemini often lead the way in terms of cutting-edge features and performance. If your project demands state-of-the-art language understanding or multi-modal capabilities, these proprietary models might be worth the investment. However, be prepared for associated costs. But, if your project requires specialized domain knowledge or unique data, fine-tuning open-source models might be the way to go. again, if time-to-market and immediate performance are critical, consider closed-source options.

2 Replies
1
Replies (2)

More like this

Recommendations from Medial

Image Description
Image Description

Chamarti Sreekar

Passionate about Pos... • 4m

this is why open source wins. closed models are only gonna get more restrictive over time.

4 Replies
15

Mohit Singh

19yo ✨ #developer le... • 1y

Meta, formerly Facebook, has unveiled two new open-source AI models called Llama 3 8B and Llama 3 70B, with 8 billion and 70 billion parameters respectively. 🚀 These models outperform some rivals and spark debate over open versus closed source AI de

See More
Reply
7

Kimiko

Startups | AI | info... • 25d

X updates its developer agreement to ban third parties from using the X API or X Content for training or fine-tuning foundation or frontier AI models.

Reply
12

Bharat Gautam

Build something that... • 5d

Open for Partnership 😉 Let's build something that can chenge everything Looking for Collaborators: Building a Universal ECU Tuning Tool for Phones & Laptops 🔧💡 Hey folks! I’m working on an ambitious project and looking for developers, automotiv

See More
Reply
3
Image Description

Jainil Prajapati

Turning dreams into ... • 4m

India should focus on fine-tuning existing AI models and building applications rather than investing heavily in foundational models or AI chips, says Groq CEO Jonathan Ross. Is this the right strategy for India to lead in AI innovation? Thoughts?

2 Replies
3
Image Description
Image Description

Chetan Bhosale

Software Engineer | ... • 7m

💡 5 Things You Need to Master for learn for integrating AI into your project 1️⃣ Retrieval-Augmented Generation (RAG): Combine search with AI for precise and context-aware outputs. 2️⃣ Vector Databases: Learn how to store and query embeddings for e

See More
3 Replies
7
9

AI Engineer

AI Deep Explorer | f... • 3m

"A Survey on Post-Training of Large Language Models" This paper systematically categorizes post-training into five major paradigms: 1. Fine-Tuning 2. Alignment 3. Reasoning Enhancement 4. Efficiency Optimization 5. Integration & Adaptation 1️⃣ Fin

See More
Reply
1
8
Image Description
Image Description

Ayush Maurya

AI Pioneer • 6m

What's your go to source to know the tech stack used behind any SaaS or project ??

6 Replies
2

ujarla vinay

Thinker • 3m

if anyone has corporate bank account of closed startup or failed pls contact me

Reply
3

Download the medial app to read full posts, comements and news.