The atmosphere is echoing that Liquid AI’s first series of Gen AI models is outperforming other LLMs.
Let’s have an overview of what’s special about this new generative AI innovation…
Liquid AI, an MIT Spin-off is a foundation model company, that proudly announces the launch of its latest AI models, known as “Liquid Foundation Models (LFMs),” that are set to redefine how generative AI operates.
The models are in three sizes and it’s a non-transformer model. Without using the current architecture these LFMs compete with other AI language models.
Furthermore, these models are specifically designed to compete with traditional large language models (LLMs) like GPT, Gemini, Gemma, and early benchmarks show that they may even outperform their older counterparts.
Source: Liquid AI (Different Innovations of Language Models)
What Makes These Generative AI Models Unique?
LLMs ability to process large amounts of text with fewer computational resources. For instance, the LFM-3B and LFM-40B models use fewer memory resources than larger models, allowing them to deliver the same or better performance.
This means that tasks like text summarization, chatbot conversations, and document processing can be done more efficiently using these new AI training models.
The innovative structure of these LFMs allows them to maintain context over long periods, which is a significant challenge in AI language models.
They excel at retaining information over extended conversations or long documents, making them suitable for real-world applications like customer service bots, mobile apps, and even edge computing devices.
What Language LFMs Excel At Today?
Language LFMs are proficient in delivering broad and specialized knowledge across various topics. They handle mathematical problems and logical reasoning with considerable accuracy.
Moreover, their efficiency shines in tasks involving long-context scenarios, allowing them to maintain coherence and relevance over extended pieces of text.
English is their primary language, but they also support multiple other languages, including Spanish, French, German, Chinese, Arabic, Japanese, and Korean, making them versatile for multilingual applications.
Current Limitations of Language LFMs
Despite their strengths, Language LFMs struggle with certain tasks. For instance, they are less effective in zero-shot coding challenges and can encounter issues when performing precise numerical calculations.
They also fall short when handling real-time, time-sensitive information and struggle with simple but specific tasks, such as counting letters in words.
Additionally, the application of human preference optimization techniques remains relatively limited, which could enhance the models’ ability to align better with human expectations and preferences.
What is the Future of Liquid Foundation Models?
Liquid AI’s LFMs also pave the way for future innovations, as the company aims to expand its use to other fields like video, audio, and time-series data.
This versatility highlights the growing impact of generative AI in various sectors, and the potential of these new AI models to shape future developments.
Bottom Line!
In summary, Liquid AI’s latest AI language model advancements, specifically with the introduction of LFMs, are poised to challenge industry leaders in the generative AI space. These AI models offer efficient, high-performance solutions across industries, making them a key player to watch in the evolution of AI training models.
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Artificial intelligence is abuzz with the launches of two advanced large language models giants (LLMs): Google DeepMind’s Gemini 1.5 Pro and OpenAI’s GPT 4o. These next-generation models promise significant advancements in how computers process and generate human language.
While specific details remain under wraps, here’s a deep dive into what we know so far about these exciting developments:
Hello GPT 4o
OpenAI hasn’t revealed many specifics about GPT 4o on its twitter account, but here are some potential areas of focus based on previous iterations and ongoing research trends:
Advanced Conversational Abilities: ChatGPT has garnered recognition for its engaging and human-like conversational style. This version might push this further, potentially incorporating emotional intelligence and context-awareness for more natural and engaging interactions. In addition, it has the ability to detect your moods as well as mimic them.
“This new version LLM has the ability to generate content with the command of audio, video, or text and comes under “Natively Multimodel.”
– Sam Altaman, OpenAI CEO
Enhanced Creative Text Formats: OpenAI has shown a strong interest in exploring the creative potential of LLMs. GPT 4o might excel at generating different creative text formats like poems, code, scripts, musical pieces, or even email marketing content in various tones and styles, i.e., humanly-written.
Focus on Developer Integration: Given OpenAI’s approach of offering API access to its models, there’s a chance that GPT 4o will be designed with developer needs in mind, potentially offering improved integration tools and functionalities.
“The updated model is much faster and improves capabilities across text, vision, and audio. The model will be free for all users, while paid users will continue to have up to five times the capacity limits of free users.“
By Mira Murati, OpenAI CTO
The improved version of all LLM when compared GPT 4o is the highest with 88.7% in general knowledge questions.
GPT-4o has safety measures in place to reduce risks like cyber threats and biased outputs. This includes filtered training data and post-training adjustments. They assess these risks and involve external experts to identify potential issues. While audio features are coming soon, for now, text and image inputs with text outputs are available. The model has limitations across all modalities, which they’ll continue to address.
OpenAI is making GPT-4-level AI more accessible with GPT-4o. It’s faster, cheaper, and has higher limits than previous models. Text and image features are available now in the free tier of ChatGPT and the Plus tier with increased message limits.
Voice mode with GPT-4o is coming soon to Plus. Developers can access text and vision features through the API. Audio and video access will be limited to partners initially. Overall, the complete version of ChatGPT will be accessible even for free users in the coming few weeks.
NOTE: As mentioned above in “Availability to Users,” the rollout is still rolling out quite slowly for desktop and mobile phones. You may not find it yet in your free tier account, but yes, you’ll get it in your free tier’s “advanced version drop-down menu” once OpenAI completes its rollout.
After previously- launching Gemini models, Google DeepMind’s thought thought to build upon the success of its new launch, i.e., Gemini 1.5 Pro. Let’s have an overview of how it boasts significant enhancements in several key areas:
Enhanced Factual Language Understanding: Leveraging Google’s vast knowledge base and search capabilities, Gemini 1.5 Pro is expected to excel at tasks requiring factual accuracy and information retrieval. Researchers suggest it might be particularly adept at summarizing complex topics or generating reports based on factual data.
Improved Reasoning and Inference: Early hints suggest that Gemini 1.5 has a stronger ability to reason and draw inferences from the information it processes. This could lead to more subtle and insightful responses to complex questions.
Focus on Accessibility: While details are limited, there’s a possibility that Google might prioritize making Gemini 1.5 Pro more accessible to a wider range of users through potential integrations with existing Google products or services.
The launch of Gemini 1.5 Pro and GPT 4o marks a significant step forward in the evolution of LLMs. Their capabilities have the potential to transform how we interact with computers, access information, and express ourselves creatively.
Meanwhile, you can also get an overview of other news or resources about the tech world.
In a move set to shake up the tech industry, Meta has officially announced the release of Llama 3, its latest innovation in artificial intelligence. With promises of enhanced natural language processing and machine learning capabilities, Llama 3 is poised to revolutionize how we interact with technology.
Meta’s Llama 3 is the product of extensive research and development by the company’s AI research team. Building upon previous iterations, Llama 3 represents a significant leap forward in AI technology. Let’s find out more about the latest AI technology and understand everything we you need to know.
Meta’s LIama 3 Takes Tech to New Heights: Here’s What You Need to Know!
According to Meta, this new release aims to provide more human-like interactions and deeper understanding of user queries, setting a new standard for virtual assistants and AI-powered applications.
One of the key features of Llama 3 is its advanced natural language processing capabilities. Unlike its predecessors, Llama 3 is designed to understand context, intent, and gradation in human speech, allowing for more fluid and intuitive interactions.
This means users can expect a more seamless experience when engaging with AI-powered services, whether it’s asking questions, making requests, or seeking assistance.
In below chart, Meta team has analyzed LIama 3 with other chatbots like Claud Sonet, Mistral Medium, GPT 3.5 by prompting and found below result.
Source- Meta
Moreover, Llama 3 comes equipped with state-of-the-art machine learning algorithms, enabling it to continuously improve and adapt based on user interactions and feedback.
This self-learning capability ensures that Llama 3 becomes more proficient over time, delivering increasingly accurate and personalized results to users.
Meta has already begun integrating Llama 3 into its products and services, with the AI assistant being utilized in various applications across the Meta ecosystem. One notable implementation is in Meta’s AI assistant, which is built using Llama 3 technology.
This AI assistant is designed to assist users across Meta’s platforms, providing helpful suggestions, answering questions, and facilitating interactions.
The release of Llama 3 has generated significant excitement within the tech community, with experts praising its potential to transform the way we engage with technology.
Analysts believe that Llama 3’s advanced capabilities could open up new possibilities for virtual assistants, customer service bots, and other AI-driven applications, ultimately enhancing the overall user experience.
In addition to its implications for consumer technology, Llama 3 also holds promise for businesses looking to leverage AI to improve efficiency and productivity.
You can have a look about their efforts and recipes to built the AI technology.
With its ability to understand and respond to complex queries, Llama 3 could be a game-changer for customer service operations, helping companies deliver faster and more personalized support to their customers.
As Meta continues to roll out Llama 3 across its platforms and services, users can expect to see significant enhancements in the functionality and performance of AI-powered features.
Whether it’s navigating social media, shopping online, or seeking information, Llama 3 is poised to become an integral part of the digital experience, offering users a smarter, more intuitive way to interact with technology.
End Note!
Therefore, you can also use this technology on Facebook, Instagram, Messenger, Whatsapp, & the web. In addition, it’s available for several countries to try on Meta’s app effortlessly. You can try LIama 3 here and get excited to reap the benefits of the new innovative technology.
Hello readers, we’re back with a new hot topic that has become the top-most headline on news channels, podcasts, reels, websites, and more.
Meet Devin AI, the world’s first artificial intelligence software engineer, launched by a US-based startup AI lab called Cognition. Well, the advanced capabilities of this software engineer are attention-grabbing, so why wait? Here’s how we’ve gathered all the information about this launch right in front of you. Scroll down to gaze your eyes through this latest news article…
What can Devin AI do?
As quoted on X by Cognition, Devin is an AI software engineer agent capable of autonomously tackling complex tasks related to software engineering. However, it has already passed the practical software engineering tests conducted by AI giants. When asked to resolve GitHub issues on real-world project, it resolved 13.86% of issues without any assistance. Mind-blowing, right? Here’s what we found from the reports:
Coding Expert: Devin AI is proficient in writing code, debugging errors, and also developing an empire of high-end applications in software areas.
Long-Term Planning: It has the ability to plan and execute easy-to-difficult projects that require countless decisions to come up with a final decision. It’s planning helps businesses achieve long-term success and growth in software development.
Machine Learning: Devin AI software engineer has the full potential to learn and improve its coding through machine learning algorithms, as well as adapt to new and unknown challenges efficiently.
Image Source: Business Standard
Is Devin AI Independent or Collaborative—a Risk for Human Engineers?
As quoted by Cognition, they are claiming Devin, the AI software engineer, can work collaboratively with human software engineers as well as independently. However, the experts also mentioned that it will work as an AI assistant and cannot be a complete replacement for human engineers. You check their YouTube video about this latest AI agent update.
The Future of Devin AI in Automotive Engineering
Devin’s development represents a significant step forward in AI-powered software development. While it might not be a fully independent “engineer” yet, it has the potential to:
Devin’s main purpose is to take a step forward in AI-powered software development. As per the news, it cannot be completely independent, so engineers will still be a priority for development.
Devin AI software engineer will help automate repetitive tasks by helping human engineers develop innovative solutions.
It’s powerful ability to help engineers save time and develop software in no time.
Devin’s continuous learning and improving will assist in enhancing the software quality by identifying and eliminating bugs.
Challenges and Considerations
We all know nothing is perfect in this world when something is powerful and potential-driven; it also has some challenges that cannot be ignored.
Devin AI software engineer has yet to address the safety concern, and regular testing and human touch are crucial. Moreover, as more AI tools are developed, the greater the fear of the replacement of human software experts. However, such tools are a signal to new job opportunities and learning new skills to stay competitive.
Important note- Devin AI is available for individuals who want the AI agent for software engineering tasks. Therefore, one can get in touch with Cognition to ask for the availability of its services.
Final Verdict!
Devin by Cognition is a groundbreaking development in AI-powered software engineering for the automotive industry. While it may not be a fully independent engineer yet, its capabilities can significantly enhance the development process. As AI continues to evolve, Devin AI software engineer represents a glimpse into the future of collaborative human-machine software development.
BREAKING NEWS! The cybersecurity eco-system is at high risk with the recent development of new and unknown cyber threat, called AI Worms. Highly dangerous software designed to exploit the vulnerabilities in all AI systems. While the news sounds like a fictional movie, unfortunately, it isn’t a movie; it’s actually a reality. However, experts are announcing severe caution and providing proactive defense measures to stay safe and protected.
What are AI Worms?
In ancient times, and today as well, old computer worms used to exploit the software vulnerabilities in devices or systems. But AI worms target AI models such as email chatbots powered by popular language models, such as Gemini, Copilot, ChatGPT, etc.
As per the researchers, they found the AI worm has a similar concept to the 1988 Morris worm. The name of the current threat development is known as “Morris II.”
How Does AI Worms Work?
Morris II works by manipulating and tricking AI assistant models to reveal sensitive information about the user through cleverly written prompts. In simple language, Morris II’s dangerous trick, called “Adversarial Self Replication,” attacks email systems by messaging again and again. This trick confuses AI assistants, and they end up accessing and changing personal information or spreading malware.
Not only this, this AI worm implements two tricks: one is text-based, in which it hides harmful prompts in emails, and the other is image-based, which is coded with mysterious prompts to confuse the AI assistant to destroy security, and spread malware. Therefore, it potentially creates a domino effect of data breaches.
What can be Done to Stay Safe?
Before the threat spreads rapidly and becomes stronger, experts have developed a few useful precautions to stay protected and mitigate future risks.
ORGANIZATION
Companies, even small and large enterprises, when developing and deploying AI systems, should strictly adhere to strong security protocols and conduct daily vulnerability assessments. Also, analyze the system with ethical hacking tactics to identify weak points and resolve them as soon as possible before exploitation.
INDIVIDUALS
Users who use AI assistants for their work efficiency should be cautious of prompts or requests that seem to be repeated extensively. Moreover, regularly update your application or the AI system to keep information protected. Thus, such precautions can help minimize the risks.
Is there any Planning of a Large-Scale AI Worm Attack?
Fortunately, there is no evidence of a planned AI worm attack. As per the researchers, Morris II is in a controlled environment with the goal of calling attention to the potential risks connected with AI vulnerabilities rather than carrying out a real attack.
Nonetheless, the analysis provides a troubling picture of how rapidly cyber threats are growing. The potential battlefield for cybercriminals expands as AI becomes more common in our everyday lives.
Bottom Line!
While technology holds great potential for rooting out threats, it’s still important to stay up-to-date and address all security risks. By taking major steps with AI assistant development and deployment, we can ensure that AI won’t breed ground with any future threats.
Read other AI-related news or blogs to stay up-to-date and never compromise your productivity. See you soon with the latest and hottest news on the board yet to be revealed!
When video creators faced challenges in creating videos with imperfect audio, Adobe, the renowned software giant, thought to discover a project named Music Gen AI Control. This experimental music tool was developed using the power of generative AI to reshape the music industry.
Nicholas Bryan, one of the creators of Adobe’s technology department introduced Music Gen AI Control Tool to the audience through the blog post.
With the help of this music generation AI control, users can easily produce music pieces by just prompting text. For example, if you write a prompt like “upbeat pop anthem” or “calming nature sound,” this innovation spells magic and generates comprehensive musical compositions for passionate musicians, filmmakers, podcasters, and content creators.
Not only this, but Project Music Gen AI Control provides users with granular control over generated audio. Video creators or musicians using this tool can easily fine-tune various aspects like intensity, tempo, and melodies and remix any specific sections.
These seamless features allow creators to create their desired tune in no time. The Adobe creators say that all their AI innovations are aligned with their AI ethics principles of responsibility, transparency, and accountability.
What is the Future of Adobe’s Project Music Gen AI Control?
Currently, Adobe’s innovation is in the experimental stage. With its intuitive interface and amazing editing and composing features, this fantastic tool has the unbreakable power to democratize music creation. Also, it empowers multiple groups of users to leave their comfort zone and make their dreams a reality. However, copyright and originality still remain hot- topics to be discussed as AI is evolving its creative area and bringing jaw-dropping comforts to human kind.
Final Verdict
In summary, the main purpose of Adobe’s Project Music GenAI Control features is to edit and craft music effortlessly. Moreover, Adobe is thinking of taking Photoshop to a similar level of AI advancement, which is a kind of deepest tweak, reshape, and editing of audio. Therefore, let’s see what this new creation brings and how users are going to utilize it and showcase a masterpiece that is going to change the overall media and entertainment industry.
If you want to explore more news about other AI innovations, you can check out the latest news articles and other blog posts.
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