Symbl.ai

Personalize call scoring with Call Score API’s new features - ‘Custom Criteria’ & ‘Scorecard’ 🎉 Call Score API is a Gen AI powered, low-code API that evaluates call quality and participant performance at scale - not only of humans but also AI agents. You can use the API to automate scoring of calls across real time and async channels for audio, video and transcript data and build coaching plans, improving CX. Read more here on how to get started with your calls or transcripts: https://lnkd.in/gr3fMxri ✅ Custom Criteria: Define your own criteria with a checklist of questions and priority levels for more granular evaluations. ✅ Scorecard: Combine various criteria (either custom, managed criteria, or a mix of both) to comprehensively evaluate conversations. What does that mean? Unparalleled customizability and programmability to AI-assisted teams across multitude of domains and verticals: ✅ Sales: Ensure adherence to specific sales methodologies like BANT and MEDDIC for quality assurance and drive targeted coaching to improve conversion rate. ✅ Recruitment: Measure biases, empathy, and job description alignment to Improve candidate experience. ✅ Customer Service: Prioritize traits such as problem solving and empathy to improve customer satisfaction (CSAT) and enhance customer loyalty.    Build your own call scores by creating a free platform account on Symbl.ai and reach out to our Sales team for a personalized demo. Links in comments.

Symbl.ai’s Weekly AI Roundup is here to get you up to speed on all things GenAI🚀!  Key highlights: Meta researchers introduce LLMs with fewer than a billion parameters for mobile deployment. Google DeepMind researchers introduce PEER, a layer design that utilizes product key technique for sparse retrieval from a million experts. Anole - an open, autoregressive and native multimodal models for interleaved image-text generation. Elon Musk announces Grok 2 & 3. A security flaw in the OpenAI ChatGPT Mac app has been exposed. AI Engineering Workshop by AI User Group is coming up!  Product & Research: 👉 MobileLLM: Meta research focuses on designing LLMs with fewer than a billion parameters for on-device applications, leveraging deep and thin architectures, coupled with embedding sharing and grouped-query attention mechanisms. The resulting models - MobileLLM -  exhibit substantial advancements in zero-shot commonsense reasoning, question answering, and reading comprehension tasks compared to previous SoTA methods. 👉 Mixture of A Million Experts: Google DeepMind researchers introduce PEER (parameter efficient expert retrieval) architecture, a fine-grained Mixture-of-Experts (MoE) design that decomposes wide dense feedforward layers into numerous tiny experts. Notably, it uses a learned index structure to efficiently route to over a million experts. Experiments on language modeling tasks demonstrate that PEER layers outperform dense FFWs and coarse-grained MoEs in terms of performance-compute trade-off. 👉 Anole: an open-source, autoregressive, natively trained large multimodal model for interleaved image-text generation. It builds on Chameleon and uses a fine-tuning process with a curated dataset of ~6K images. It demonstrates the ability to follow nuanced instructions to produce high quality images and interleaved text-image content. News: 👉 Grok 2 & 3 (article by Emily Price, PCMag): Elon Musk confirms the launch of Grok-2 in August. He claimed that it would “exceed current AI on all metrics." He also tweeted that Grok 3 will be released at the end of the year "after training on 100k H100s". 👉 OpenAI’s ChatGPT Mac app was storing conversations in plain text (article by Jay Peters, The Verge): The concerning security issue meant that if a bad actor or malicious app had access to your machine, they could easily read your conversations with ChatGPT and the data contained within them - demonstrated by Pedro José Pereira Vieito. After recognizing the issue, the company announced a new version which encrypts these conversations. Events & Conferences: 👉 AI Engineering Workshop (hosted by AI User Group): Register for the event on July 18, 2024 from 9:00 am - 6:00 pm. Learn to build open-source AI with Hugging Face and to build AI agents capable of reflection, tool use, memory, and executing tasks. Did you come across other exciting developments in AI this week? Let us know in the comments ⬇️

We are thrilled to announce that our CEO, Surbhi Rathore, has been nominated for the VentureBeat Women in AI Awards 2024 in the AI Entrepreneurship category 🎉! It is a proud moment for us as a women-led business to be nominated for this award alongside other incredible leaders like Allie K. Miller, Erin Rapacki, Nicole Eagan, and others. See the link in comments for complete list. The award honors women who have started companies demonstrating significant promise in the AI space, considering factors such as business traction, technological innovation, and impact. Surbhi's nomination is a testament to her leadership under which Symbl.ai has propelled real-time voice AI for front line teams like sales and customer support. Developers and businesses have improved customer experience, human productivity, and more at a reduced cost with our specialized understanding and generative models. As we eagerly await the awards ceremony on July 10 in the VB Transform event in San Francisco, join us in congratulating Surbhi Rathore for this amazing feat. If you are attending the 3 day conference, let us know in the comments and we would love to meet you there! Read the announcement here: https://lnkd.in/dHH79Fhx.   #WomenInAI #VBTransform2024 #Leadership #AIEntrepreneurship

Symbl.ai’s Weekly AI Roundup is here to get you up to speed on all things GenAI🚀!  Key highlights: Google launched Gemma 2 in 9B and 27B parameter sizes and Context Caching feature for Gemini API to optimize cost by token reuse. Hugging Face introduced BigCodeBench that evaluates LLMs on programming tasks. The Center for Investigative Reporting sued OpenAI and Microsoft for allegedly using their content without permission. VB Transform 2024 conference and AI for product manager event are around the corner. Product & Research: 👉 Google launched Gemma 2: Gemma 2 is available in both 9 billion and 27 billion parameter sizes, offering higher performance and greater inference efficiency compared to its predecessor. The 9B Gemma 2 leads its class, outperforming Llama 3 8B and other models in its category. 👉 BigCodeBench: Hugging Face launches BigCodeBench, which evaluates LLMs on practical and challenging programming tasks. Notably, GPT-4o and DeepSeek-Coder-V2-Instruct have the highest scores and lead the score board. 👉 Context caching: Allows caching input tokens and then referencing these for subsequent requests. That makes it useful for use cases such as Chatbots with extensive system instructions or repetitive analysis of lengthy video files. Using cached tokens instead of repeatedly passing the same corpus reduces costs at certain volumes. News: 👉 OpenAI, Microsoft sued by Center for Investigative Reporting (an article by Hayden Field, CNBC): The Center for Investigative Reporting (CIR), the oldest nonprofit newsroom in the U.S., sued OpenAI and Microsoft for copyright infringement. The lawsuit alleges OpenAI used CIR's content without permission or compensation. Similar suits have been filed by The New York Times, Chicago Tribune, and New York Daily News. Conferences & Events: 👉 VB Transform 2024 by VentureBeat: Register for the three day conference from July 9 -11 in San Francisco, CA. Learn how Graph-based RAG is transforming Enterprise AI, how AI requires a new kind of OS, blending open-source LLMs with proprietary models, and more. 👉 AI for product managers: Attend the webinar by Data Science Dojo on July 24th to explore how AI is transforming the domain of Product Management by enhancing efficiencies and reshaping strategies. Did you come across other exciting developments in AI this week? Let us know in the comments ⬇️

We are excited to announce that our CEO, Surbhi Rathore, will be joining the panel discussion "Breaking Barriers: Strategies for Women to Thrive in AI Careers - From Classroom to Boardroom" at the BMM 2024 conference today at the San Jose Convention Center, California. The BMM conference is a vibrant gathering of the global Maharashtrian community, celebrating culture, language, and identity while embracing technological advancements. Hear from leaders, including Sonali Sambhus (Board Advisor at Worth AI ), Shilpa Kolhatkar (Director of Worldwide AI Initiatives at NVIDIA), and Sara Thomas Deshpande (General Partner at Maven Ventures), as they share their experiences and the challenges they overcame to make a significant impact. If you are coming to the conference, don’t miss this opportunity to learn and be inspired by these leaders. We look forward to meeting you there! #WomenInAI #WomenInLeadership #Inspiration #Empowerment #WomenInBusiness  #bconnect #bmm2024 #kaaybay #baymarathi #businessconference #SanJose

Symbl.ai’s Weekly AI Roundup is here to get you up to speed on all things GenAI🚀!  Key highlights: Meta shares updates on AI research models and DeepSeek launched DeepSeek-Coder-V2 that excels at code and math-specific tasks. NVIDIA introduces a family of models, Nemotron-4 340B. Google DeepMind’s AI creates soundtracks and dialogue for videos. OpenAI co-founder launches new startup. AI Engineering Workshop by AI User Group and Pre-Training LLMs session by Data Science Dojo are coming up! Product & Research: 👉 Meta launches new AI research models: 1 - Chameleon, a unified, multimodal model that can input and output any combination of text and images. 2 - Jasco, a text-to-music model that accepts inputs such as chords or beats and generates music. 3 - AudioSeal, a audio watermarking technique that uses a localized detection approach for faster and efficient detection of AI-generated speech. 👉 DeepSeek-Coder-V2: it is continually pre-trained from DeepSeek-v2 with 6T tokens, enhancing coding and mathematical reasoning capabilities. The model supports a context length of 128K and 300+ programming languages, and achieves comparable performance to GPT-Turbo and Gemini 1.5 Pro in code and math-specific tasks. 👉 Nemotron-4 340B: NVIDIA’s family of open models, including base, instruct, and reward models to form a pipeline for generating synthetic data for training LLMs. The instruct model for generating synthetic data that mimics the characteristics of real-world data and the reward model to filter for high quality responses. The base model can be customized using the NeMo framework for specific use cases. News: 👉 Google DeepMind’s new AI generates soundtracks and dialogue for videos (article by Kyle Wiggers, TechCrunch): DeepMind’s video-to-audio tech inputs video pixel and audio prompt to generate music, sound effects and dialogue that matches the characters and tone of the video. Powering the technology is a diffusion model that was trained on a combination of video, audio, and additional annotations. 👉 OpenAI co-founder Ilya Sutskever announces his new AI startup, Safe Superintelligence (article by Todd Haselton and Rohan Goswami, CNBC): Sutskever announced the new company on Wednesday. He was a member of the OpenAI Board who, alongside with a few other board members clashed with Altman over the company’s handling of AI safety. Events & Conferences: 👉 AI Engineering Workshop (hosted by AI User Group): Register for the event on July 18, 2024 from 9:00 AM - 6:00 PM. Learn to build open-source AI with Hugging Face and to build AI agents capable of reflection, tool use, memory, and executing tasks. 👉 Pre-Training LLMs on Personal Computers (event by Data Science Dojo): Join the event on 28th August and learn how to train scaled down versions of language models using your personal computer with an Apple M series chip. Did you come across other exciting developments in AI this week? Let us know in the comments ⬇️

Symbl.ai celebrated its 6th anniversary in May! See other key developments, moments, and highlights in this recap of May 2024 Newsletter!⬇️ Company Updates: ✅ Symbl’s 6th anniversary: We celebrated the 6th anniversary of Symbl.ai in May 2024. Founder & CEO, Surbhi Rathore was interviewed by KING 5 Media Group in Seattle on her journey in building Symbl and recent AI developments. Watch the short interview in the comments to learn more about what sets Symbl apart! Customer Stories: 👉 Markets EQ, an AI startup leverages Symbl’s Gen-AI capabilities and conversational understanding models to provide investor relation officers (IROs) insights into earnings calls to improve corporate communications. Check out our case study in the comments to learn how Markets EQ was able to use Nebula LLM. 👉 Cloud Court, Inc., a legal-tech software company uses Symbl’s conversational intelligence features to enable corporations, law firms, government agencies, and insurance providers to extract knowledge and intelligence from depositions and prior testimony data. Check out our case study in the comments to learn more. Community: 👉 MongoDB's Partner Reception: Thoroughly enjoyed MongoDB’s partner reception in NYC. Check out the comments for a detailed implementation guide on building Retrieval Augmented Generation (RAG) solutions with Symbl and MongoDB. 👉Data Science Dojo LLM Bootcamp: Our Director of AI, Kartik Talamadupula conducted a session about building specialized LLMs - the motivation and inherent challenges at the new Microsoft campus in Redmond. Latest Tutorials & Blogs: ✅ We published informative guides on building large language models (LLMs) and end-to-end speech recognition models from scratch. Links to these guides are in the comments. Don’t want to miss the latest GenAI developments at Symbl.ai? Create a free platform account to receive our newsletter. More details in the comments⬇️

Symbl.ai’s Weekly AI Roundup is here to get you up to speed on all things GenAI🚀!  Key highlights: Researchers introduce Husky, an open-source language agent, and Buffer of Thoughts (BoT) for thought-augmented  reasoning with LLMs. Stability AI launches Stable Diffusion 3 Medium, a text-to-image model. Apple makes AI announcements at WWDC 2024 including ChatGPT integration. Reachy2, an open source robot that does chores. AI meetup by AICamp and GDG Seattle Build with AI are coming up! Product & Research: 👉 Husky: It can reason across a unified action space to address numerical, tabular, and knowledge-based reasoning tasks. Expert models used: a code generator, a query generator, and a math reasoner. It outperforms GPT-4-Turbo on mixed-tool reasoning tasks. Research by Joongwon (Daniel) Kim, Bhargavi Paranjape, Tushar Khot, and Hannaneh Hajishirzi (University of Washington, Meta, and Allen Institute for AI (AI2)). 👉 Buffer of Thoughts (BoT): a novel thought-augmented reasoning approach to improve performance of LLMs. Notably, researchers use a meta-buffer to store high-level thoughts distilled from problems and adaptively instantiate each thought template to a specific task. BoT achieves superior performance over previous SOTA methods: 20% on Geometric Shapes and 51% on Checkmate-in-One. Research by Tianjun Zhang, Shiyi Cao, Minkai Xu, and others (University of California, Berkeley, Stanford University, and Peking University). 👉 Stable Diffusion 3 Medium by Stability AI: the Multimodal Diffusion Transformer text-to-image model was pre-trained on 1B images and fine tuned on 30M high-quality aesthetic images focused on specific visual content and style. News: 👉 The top AI features Apple announced at WWDC 2024 (Kyle Wiggers, TechCrunch): Notably, Apple is bringing ChatGPT to Siri and other first party apps. Siri users will be able to route questions to ChatGPT and include photos or ask questions related to their docs. 👉 Hugging Face and Pollen Robotics show off an open source robot that does chores (article by Carl Franzen, VentureBeat): Reachy2 is a humanoid robot equipped with advanced bio-inspired arms with 7 degrees of freedom and can handle objects up to 6 pounds. Initially, it was tele-operated by a human via VR and then used a ML algorithm to learn to do chores from 50 videos, each 15 seconds. Events: 👉 AI meetup by AICamp: Attend the monthly in-person AI meetup in Seattle, WA on 9th July for tech talks on AI, GenAI, LLMs and machine learning, and network with fellow developers. . 👉 GDG Seattle Build with AI:  Register for the event hosted by the Google Developer Groups (GDG) on Jun 29, 9:00 AM – 3:00 PM. Attend talks and hands-on workshops on Gemini, Google Cloud, and more, and network with AI experts. Did you come across other exciting developments in AI this week? Let us know in the comments ⬇️

Symbl.ai turned six! 🎉    Since 2018, our mission has been to democratize access to purpose built AI for human conversations while making it effortless to build experiences centered around communication workflows. This has always challenged us to obsess about readiness to drive business outcomes, a great developer experience, and generating real-time intelligence - all of which are core to unlocking conversation data. The world now is way different than what it was back then - but the pain of losing knowledge from critical business and customer conversations is stronger than ever.  We cannot be more excited to partner with builders and visionaries who are rethinking communication workflows with a human-first mindset. We extend our heartfelt gratitude to our customers, partners, developer community, and our team for their unwavering support and collaboration throughout this journey. If you are solving these problems and more in your products or businesses, we’d love to hear from you! 1. Increasing the quality of human interactions specific to your business processes  2. Augmenting voice communications with live assistance to your people 3. Understanding deviations in your interactions and calibrating AI systems and processes Here's to many more years of transforming real-time human interactions and unlocking human creativity to build the next generation of customer experiences.

Symbl.ai’s Weekly AI Roundup is here to get you up to speed on all things GenAI🚀!  Key highlights are: Stability AI launched Stable Audio Open, and ElevenLabs introduced a text-to-sound model. Researchers from the University of Wisconsin-Madison and Microsoft developed Matryoshka Multimodal Models. Hugging Face released a FineWeb, a large-scale dataset for large language model (LLM) pre-training. U.S. regulators are set to investigate Nvidia, OpenAI, and Microsoft. Don’t miss Data Science Dojo’s LLM Bootcamp, which is right around the corner!   Product & Research: 👉 Stable Audio Open by Stability AI: It is an open-source text-to-audio model that can generate up to forty-seven seconds of samples and sound effects - drum beats, ambient sounds, and instrument riffs. Users can fine-tune it using their audio data. 👉 AI Text to Sound Effects Generator: The latest model by ElevenLabs generates audio content - sound effects, instrumental tracks, and character voices - from text prompts. The model was fine-tuned using content from the Shutterstock audio library with licensed tracks. 👉 Matryoshka Multimodal Models: University of Wisconsin-Madison and Microsoft researchers (Mu Cai, Jianwei Yang, Jianfeng Gao, and Yong Jae Lee) introduced Matryoshka Multimodal Models (M3). M3 learns to represent visual content as nested sets of visual tokens that capture information across multiple coarse-to-fine granularities. Notably, you can dynamically adjust the number of tokens to represent an image based on anticipated content complexity, accounting for compute and memory constraints. News: 👉 FineWeb by Hugging Face: The large-scale dataset for LLM pre-training is derived from 96 Common Crawl Foundation snapshots, consists of 15T tokens, and occupies 44TB of disk space. Notably, the team used MinHash, a fuzzy hash-based deduplication technique for enhancing training efficiency and improving performance. Hugging Face published a report diving deeper into how to create a high-quality web-scale dataset. 👉 U.S. regulators to open antitrust probes into NVIDIA, Microsoft and OpenAI (article by Hayden Field, and Eamon Javers, CNBC): The Federal Trade Commission (FTC) and the U.S. Department of Justice (DOJ) are opening investigations into the influence of these companies on the AI industry. The investigations will examine their conduct rather than mergers and acquisitions.  Conferences and Events: 👉 Large Language Models Bootcamp by Data Science Dojo: Register for the 5-day bootcamp from June 24 - 28 in Seattle, including hands-on workshops on vector databases & embeddings, orchestration frameworks such as LangChain, and building an LLM application. Kartik Talamadupula will be presenting a session on domain-specific LLMs and the Nebula LLM, which is specialized for human conversations. Register today. Link in comments. Did you come across other exciting developments in AI this week? Let us know in the comments ⬇️