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BoosteroLooking to grow on social media without the guesswork? Boostero is an SMM panel that helps brands, creators, and agencies expand their reach across all the major networks from a single, organized dashboard. Rather than juggling each platform separately, you can order and track followers, likes, views, and engagement for 23+ networks — Instagram, TikTok, YouTube, Facebook, X, Spotify, Telegram, LinkedIn, and many more — in one place. Running since 2020, Boostero now serves a customer base spread across 125+ countries. It ships with multilingual support in 16 languages alongside English and dedicated, localized pages for 19 priority markets. Processing is automated so orders begin quickly, the majority of services carry a refill guarantee, and payment runs through an encrypted checkout that never asks for a password. The platform is engineered around dependability and clarity: authentic engagement that sticks around instead of vanishing bot activity, straightforward pricing that begins at $0.01, a full-featured API for hands-off order automation, and flexible terms tailored to resellers and agencies. A range of payment methods is accepted, and a real support team stays reachable at any hour. What you get with Boostero: One dashboard covering 23+ social platforms Lasting, authentic engagement — not disappearing bots A track record since 2020, with users in 125+ countries 16 languages plus English, and localized pages for 19 key markets Clear pricing starting at $0.01, backed by a refill guarantee A powerful API with complete order automation Dedicated reseller options for agencies Multiple payment choices: credit/debit cards, PayPal, crypto, and Payoneer Round-the-clock human help on WhatsApp, Telegram, email, and tickets Encrypted, password-free checkout
What is Megatron-Turing?
The Megatron-Turing Natural Language Generation model (MT-NLG) is distinguished as the most extensive and sophisticated monolithic transformer model designed for the English language, featuring an astounding 530 billion parameters. Its architecture, consisting of 105 layers, significantly amplifies the performance of prior top models, especially in scenarios involving zero-shot, one-shot, and few-shot learning. The model demonstrates remarkable accuracy across a diverse array of natural language processing tasks, such as completion prediction, reading comprehension, commonsense reasoning, natural language inference, and word sense disambiguation. In a bid to encourage further exploration of this revolutionary English language model and to enable users to harness its capabilities across various linguistic applications, NVIDIA has launched an Early Access program that offers a managed API service specifically for the MT-NLG model. This program is designed not only to promote experimentation but also to inspire innovation within the natural language processing domain, ultimately paving the way for new advancements in the field. Through this initiative, researchers and developers will have the opportunity to delve deeper into the potential of MT-NLG and contribute to its evolution.
What is Gopher?
Language serves as a fundamental tool in enhancing comprehension and enriching the human experience. It allows people to express their thoughts, share ideas, create memories that last, and build connections with others, fostering empathy in the process. These aspects are critical for social intelligence, which is why teams at DeepMind concentrate on various dimensions of language processing and communication among both humans and artificial intelligences. Within the broader context of AI research, we believe that improving language model capabilities—systems that predict and generate text—holds significant potential for developing advanced AI systems. Such systems are capable of summarizing information, providing expert opinions, and executing instructions using natural language in a way that feels intuitive. Nevertheless, the path to creating beneficial language models requires a careful examination of their potential impacts, including the challenges and risks they may pose to society. By gaining a deeper understanding of these issues, we can strive to leverage their advantages while effectively addressing any negative implications that may arise. Ultimately, this ongoing investigation will help ensure that the evolution of language technology aligns with our ethical and social values.
Media
No images available
Integrations Supported
BERT
ChatGPT
Dolly
GPT-4
Llama
Llama 2
Llama 3.1
Llama 3.2
Llama 3.3
Stable LM
Integrations Supported
BERT
ChatGPT
Dolly
GPT-4
Llama
Llama 2
Llama 3.1
Llama 3.2
Llama 3.3
Stable LM
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
NVIDIA
Date Founded
1993
Company Location
United States
Company Website
developer.nvidia.com/megatron-turing-natural-language-generation
Company Facts
Organization Name
Google DeepMind
Company Location
United States
Company Website
www.deepmind.com/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval