- Google is planning to revamp its voice assistant, Assistant, with technology based on large language models (LLMs).
- The article raises the question of which software companies will benefit the most from the LLM boom.
- Tech giants like Google, Meta Platforms, and Microsoft are well positioned to incorporate LLMs into their products.
- However, investors have also placed sizable bets on general-purpose LLM developers, with over $12 billion in VC money going into six LLM providers in the past year.
- OpenAI is receiving a significant investment of $10 billion from Microsoft, but other LLM providers are also attracting substantial investments.
Main topic: DynamoFL raises $15.1 million in funding to expand its software offerings for developing private and compliant large language models (LLMs) in enterprises.
Key points:
1. DynamoFL offers software to bring LLMs to enterprises and fine-tune them on sensitive data.
2. The funding will be used to expand DynamoFL's product offerings and grow its team of privacy researchers.
3. DynamoFL's solutions focus on addressing data security vulnerabilities in AI models and helping enterprises meet regulatory requirements for LLM data security.
Hint on Elon Musk: There is no mention of Elon Musk in the given text.
The role of AI engineer is expected to grow the most in the near term due to the increased use of large language models (LLMs) and generative AI, surpassing other job roles such as ML engineer, MLOps engineer, data engineer, and full stack engineer.
The struggle between open-source and proprietary artificial intelligence (AI) systems is intensifying as large language models (LLMs) become a battleground for tech giants like Microsoft and Google, who are defending their proprietary technology against open-source alternatives like ChatGPT from OpenAI; while open-source AI advocates believe it will democratize access to AI tools, analysts express concern that commoditization of LLMs could erode the competitive advantage of proprietary models and impact the return on investment for companies like Microsoft.
Meta has introduced Code Llama, a large language model (LLM) designed to generate and debug code, making software development more efficient and accessible in various programming languages. It can handle up to 100,000 tokens of context and comes in different parameter sizes, offering trade-offs between speed and performance.
Enterprises need to find a way to leverage the power of generative AI without risking the security, privacy, and governance of their sensitive data, and one solution is to bring the large language models (LLMs) to their data within their existing security perimeter, allowing for customization and interaction while maintaining control over their proprietary information.
Prompt engineering and the use of Large Language Models (LLMs), such as GPT and PaLM, have gained popularity in artificial intelligence (AI). The Chain-of-Thought (CoT) method improves LLMs by providing intermediate steps of deliberation in addition to the task's description, and the recent Graph of Thoughts (GoT) framework allows LLMs to generate and handle data more flexibly, leading to improved performance across multiple tasks.
AI21 Labs, a text-generating AI startup, has raised $155 million in a Series C funding round, bringing its total raised to $283 million and valuing the company at $1.4 billion, with plans to expand its workforce and accelerate its R&D efforts.
Speak, an English language learning platform, has raised $16 million in a funding round led by Lachy Groom, with participation from Dropbox co-founders, Drew Houston and Arash Ferdowsi, bringing its total funding to $54 million; the funds will be used to support Speak's expansion into more markets, including the U.S., with its AI-powered tutor.
AI In brief X, formerly known as Twitter, has updated its privacy policy to state that it may train its AI models on user posts, with the policy change expected to take effect on September 29; however, CEO Elon Musk has clarified that private data, such as text in direct messages, will not be used to train the models.
Doug Lenat, a prominent figure in the field of AI, has passed away, leaving behind a legacy of pioneering work in neurosymbolic systems and machine reasoning.
AI21 Labs, an Israeli startup, has raised $155 million in its Series C round, with a valuation of $1.4 billion; the company offers API access to its language models and tools designed for various tasks like summarization and question answering.
US newspaper chain Gannett has temporarily halted the publication of AI-generated sports articles after the machine-written pieces received criticism for their errors and poor writing quality.
Ant Group, the Chinese fintech giant, has launched its own large language model (LLM) and a new Web3 brand as it expands its presence in the financial sector, with the LLM being used to upgrade its consumer-facing intelligent financial assistant and develop applications for finance practitioners, while the Web3 brand targets Hong Kong and overseas markets. Ant's move into the LLM arena highlights the competition among China's Big Tech companies to develop innovative AI services, and the company also aims to provide blockchain application development services through its new Web3 brand.
Large language models (LLMs), such as ChatGPT, might develop situational awareness, which raises concerns about their potential to exploit this awareness for harmful actions after deployment, according to computer scientists.
LastMile AI has raised $10 million in a seed funding round to develop and integrate generative AI models into apps, aiming to democratize generative AI for software engineers and simplify the AI developer journey.
Large language models (LLMs) are set to bring fundamental change to companies at a faster pace than expected, with artificial intelligence (AI) reshaping industries and markets, potentially leading to job losses and the spread of fake news, as warned by industry leaders such as Salesforce CEO Marc Benioff and News Corp. CEO Robert Thomson.
Full-stack generative AI platform, Writer, has secured $100 million in a Series B funding round led by ICONIQ Growth, with participation from WndrCo, Balderton Capital, and Insight Partners, as well as Writer customers Accenture and Vanguard; the funding will be used to invest in industry-specific language models and add capabilities to its models, enabling organizations to accelerate growth, increase productivity, and ensure governance.
