PaLM AI
PaLM (Pathways Language Model) is Google’s first large language model developed under the Pathways architecture, designed to manage multiple tasks simultaneously, adapt to new tasks efficiently, and demonstrate a more comprehensive understanding of complex information. [2] [12]
Overview
PaLM AI utilizes Google's Pathways system to scale training across 6,144 TPU v4 chips, representing the largest TPU-based configuration used for language model training to date. The training process employs data parallelism across two Cloud TPU Pods and standard model parallelism within each Pod. The model was trained on a broad multilingual dataset including web content, literature, Wikipedia, dialogue, and source code, with a custom vocabulary designed to retain structure important for both natural language and programming code.
The project incorporates a phased approach to decentralization, shifting 5% of development on-chain each month until reaching a targeted balance, with approximately half of all activity operating directly on Ethereum or Layer 2 networks such as SKALE. The model was first announced in April 2022 and remained private until March 2023, when Google launched an API for PaLM and several related technologies. [1][4] [11]
Model Architecture and Capabilities
The model demonstrates exceptional performance in several key areas:
- Commonsense reasoning: PaLM can understand and respond to questions requiring everyday knowledge and logical inference
- Arithmetic reasoning: The model can solve mathematical problems through step-by-step reasoning
- Joke explanation: PaLM can analyze and explain humor, demonstrating understanding of cultural context and linguistic nuance
- Code generation: The model can produce functional code across multiple programming languages
- Translation: PaLM supports translation between numerous languages with high accuracy [1] [12]
Specialized Variants
Med-PaLM
Developed jointly by Google and DeepMind, Med-PaLM is a version of PaLM 540B that has been fine-tuned on medical data. Beyond simply answering questions accurately, Med-PaLM can provide reasoning for its responses and evaluate its own answers, making it particularly valuable in healthcare contexts. [7]
PaLM-E
PaLM-E extends the base model using a vision transformer to create a state-of-the-art vision-language model for robotic manipulation. The model can perform robotics tasks competitively without requiring retraining or fine-tuning, demonstrating the flexibility of the underlying architecture. [8]
AudioPaLM
In June 2023, Google announced AudioPaLM for speech-to-speech translation, which uses the PaLM-2 architecture and initialization. It is a multimodal language model that integrates PaLM-2 (a text-based model) with AudioLM (a speech-based model) to enable both speech understanding and generation. This combined architecture allows for a range of applications, including speech recognition and speech-to-speech translation, by processing and generating both spoken and written language. [9]
Evolution and Successor Models
In May 2023, Google announced PaLM 2 at the annual Google I/O keynote as the successor to the original PaLM model. PaLM 2 is an advanced language model designed to improve performance in multilingual understanding, reasoning, and programming. It is trained on a diverse multilingual corpus covering over 100 languages, enabling it to handle complex linguistic tasks such as translation, idiomatic expression comprehension, and nuanced text generation. The model's training also includes scientific and mathematical content, enhancing its logical and reasoning capabilities. Additionally, PaLM 2 has been pre-trained on a broad range of open-source code, supporting proficiency in widely used programming languages as well as more specialized ones. [10]
Tokenomics
PaLM AI Token ($PALM)
The $PALM token was launched on the Ethereum network to support ongoing bot development, maintain access to up-to-date large language models on Telegram, and serve as a tradable liquid asset within the ecosystem. [5] [6]
The total supply of the $PALM token is capped at 100 million. Of this, 77.5 million tokens remain in circulation following the burn of 22.5% of the total supply. At launch, 20 million tokens (20%) were permanently removed from circulation, with an additional 2.5 million (2.5%) burned later. A significant portion, 75 million tokens (75%), is allocated to liquidity to support trading accessibility. The remaining 5% (5 million tokens) is reserved for potential future developments, including centralized exchange listings. [5]
Partnerships
PaLM AI has formed a partnership with NFINITY AI to collaborate in the area of creative artificial intelligence. The cooperation focuses on integrating both platforms' tools, including PaLM AI’s systems and NFINITY's Creator Studio and $NFNT utilities, which leverage advancements in generative AI. The partnership was established during the Token2049 event and reflects a shared focus on expanding creative applications in AI. [13]
PaLM AI has entered into a partnership with The Guru Fund to integrate fund-enabling smart contracts into its automated trading systems. This collaboration is intended to facilitate pooled fund management within the PaLM ecosystem. Further details and developments will be shared publicly through upcoming community discussions. [14]
PaLM AI has partnered with GameHub ($GHUB), a platform focused on Web3 gaming within the Telegram Mini App ecosystem. The collaboration centers on integrating gamified features into PaLM’s product suite, including the development of play-to-earn (P2E) and player-versus-player (PvP) games. As part of the partnership, a custom game has been launched that incorporates $PALM token mechanics, with profits partially allocated to token burns to influence circulating supply. [15]
