SmartCow Launches Apollo Development Kit to Create Conversational and Advanced NLP Applications

“When assessing the quantitative investing capabilities of an asset manager, it’s important to look beyond marketing claims. And do they have a thoughtful, measured, and transparent process, with a team who understands the proper use and potential misuse of new tools and data? Frase (frase.io) claims to help SEO specialists create content that is aligned with user intent easily.

Become an NLP Expert and Do More with Your Data!

AI scientists hope that bigger datasets culled from digitized books, articles and comments can yield more in-depth insights. For instance, Microsoft and Nvidia recently announced that they created Megatron-Turing NLG 530B, an immense natural language model that has 530 billion parameters arranged in 105 layers. An international asset manager with one of the world’s largest quant equity research teams, Robeco has been at the forefront of quant research, contributing to both academic research and client portfolios for over 30 years.

• Smartling is adapting natural language algorithms to do a better job automating translation, so companies can do a better job delivering software to people who speak different languages.
• Another example is monitoring the number of job vacancies at firms, viewing an increase as an expectation for future growth.
• The structural approaches build models of phrases and sentences that are similar to the diagrams that are sometimes used to teach grammar to school-aged children.
• But what should asset allocators or fund selectors look for when evaluating the credentials of AI claims?
• While the machines may not master some of the nuances and multiple layers of meaning that are common, they can grasp enough of the salient points to be practically useful.

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It streamlines the SEO and content creation processes by offering a comprehensive solution that combines keyword research, content research, content briefs, content creation, and optimization. Modern websites are at the mercy of algorithms, which dictate the content they show in the search results for specific keywords. These algorithms are getting smarter by the day, thanks to a technology called machine learning, also known as artificial intelligence (AI). Now that algorithms can provide useful assistance and demonstrate basic competency, AI scientists are concentrating on improving understanding and adding more ability to tackle sentences with greater complexity.

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“Edge computing technology has revolutionized the way people work, live and travel,” continued Kiran. Many of the startups are applying natural language processing to concrete problems with obvious revenue streams. Grammarly, for instance, makes a tool that proofreads text documents to flag grammatical problems caused by issues like verb tense. The free version detects basic errors, while the premium subscription of $12 offers access to more sophisticated error checking like identifying plagiarism or helping users adopt a more confident and polite tone. The company is more than 11 years old and it is integrated with most online environments where text might be edited. When we perform SEO on our content, we need to consider Google’s intentions in introducing BERT and giving NLP a larger role in determining search rankings.

• This allows you and your team time to deploy your application(s) without the burden of a steep learning curve or time-consuming training.
• Crafting an SEO strategy that places importance on customer sentiment addresses common complaints and pain points.
• You know you should be doing more with your language data, and you’ve got a strong suspicion that you’re missing out on some valuable insights as a result.
• And should you need assistance, REST includes easy-to-use documentation resources that are just a click away.

Using NLP allows researchers to analyse such data, separating the noise from the potential signals. Another example is monitoring the number of job vacancies at firms, viewing an increase as an expectation for future growth. IN THE past week, you would likely have interacted with artificial intelligence (AI) in one way or another. Whether it was with a customer service chatbot or simply unlocking your mobile phone with facial recognition, AI has seamlessly found its way into our daily lives. You now have the information you need to find an API that meets your needs as both a developer and an aspiring NLP expert.

What is natural language processing (NLP)?

While humans may instinctively understand that different words are spoken at home, at work, at a school, at a store or in a religious building, none of these differences are apparent to a computer algorithm. In the future, alternative data, machine learning, and NLP will enhance collaboration by improving both quant models and fundamental research, thereby strengthening the firm’s offering. Asset managers that can adapt and leverage the growing power of data and AI techniques will see differentiated advantages. In 2019, global asset management firm Robeco tapped on natural language processing (NLP), which is a form of AI, to help them analyse large volumes of text and signals to find patterns that might influence markets. “Apollo is a specialized dev kit created to meet higher-level developers’ needs and give them a way to get straight to more conversational applications.”

“Sometimes ‘innovation’ is a very overused term,” says Mike Chen, head of Next-Gen Research at Robeco. The global Natural Language Processing (NLP) market is predicted to grow from US $20.98 billion in 2021 to US $127.26 billion in 2028 at a Compound Annual Growth Rate (CAGR) of 29.4% in the forecast period. With 6 starter NLP examples and seamless, out-of-the-box speaker recognition, SmartCow’s Apollo meets the increasing demand for development kits that simultaneously process both audio and video data using advanced AI models. Writer’s text editor has a built-in grammar checker and gives you useful real-time suggestions focusing on tone, style, and inclusiveness. Writer also offers a reporting tool that lets you track your writers’ progress for a specific period, such as spelling, inclusivity, and writing style.

For example, expert.ai’s NL API can perform deep linguistic analysis techniques such as part-of-speech (PoS) tagging, lemmatization, morphology, syntactic and sentiment — offering expert insight into your language data. In a nutshell, salience is concerned with measuring how much of a piece of content is concerned with a specific topic or entity. Entities are things, people, places, or concepts, which may be represented by nouns or names.

BERT, on the other hand, churns out results for Brazilian citizens who are going to the U.S. The key difference between the two algorithms is that BERT recognizes the nuance that the word “to” adds to the search term, which the old algorithm failed to capture. The goal is now to improve reading comprehension, word sense disambiguation and inference. Beginning to display what humans call “common sense” is improving as the models capture more basic details about the world.

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Chen explains that Robeco is a top-tier quant house and one of the few with strong fundamental equities and fixed income teams. In fact, the Robeco quant team started out by providing stock ranks for the portfolio managers’ input in their fundamental emerging market team. But before AI even became part of everyday vocabulary, one company was already exploring how it could be used in determining investment strategies. Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content. In 2024, Ng and colleagues published a study testing an app that used NLP to evaluate college students’ mental health based on what they wrote on Reddit.